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README.md

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+---
+language:
+  - en
+  - vi
+pretty_name: VQAv2 in Vietnamese
+source-datasets:
+  - VQAv2
+tags:
+  - VQAv2-vi
+  - VQA
+license: unknown
+task_categories:
+  - visual-question-answering
+task_ids:
+  - visual-question-answering
+---
+# VQAv2 in Vietnamese
+
+This is Google-translated version of [VQAv2](https://visualqa.org/) in Vietnamese. The process of building Vietnamese version as follows:
+- In `en/` folder,
+  - Download `v2_OpenEnded_mscoco_train2014_questions.json` and `v2_mscoco_train2014_annotations.json` from [VQAv2](https://visualqa.org/).
+  - Remove key `answers` of key `annotations` from `v2_mscoco_train2014_annotations.json`. I shall use key `multiple_choice_answer` of key `annotations` only. Let call the new file `v2_OpenEnded_mscoco_train2014_answers.json`
+  - By using [set data structure](https://docs.python.org/3/tutorial/datastructures.html#sets), I generate `question_list.txt` and `answer_list.txt` of unique text. There are 152050 unique questions and 22531 unique answers from 443757 image-question-answer triplets.
+- In `vi/` folder,
+  - By translating two `en/.txt` files, I generate `answer_list.jsonl` and `question_list.jsonl`. In each of entry of each file, the key is the original english text, the value is the translated text in vietnamese.
+
+To load Vietnamese version in your code, you need original English version. Then just use English text as key to retrieve Vietnamese value from `answer_list.jsonl` and `question_list`.
+