Update README.md

README.md

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+---
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+# About CVQA
+
+
+CVQA is a culturally diverse multilingual VQA benchmark consisting of over 9,000 questions from 33 country-language pairs. The questions in CVQA are written in both the native languages and English, and are categorized into 10 diverse categories.
+
+This data is designed for use as a test set. Please [submit your submission here](https://eval.ai/web/challenges/challenge-page/2305/) to evaluate your model performance. CVQA is constructed through a collaborative effort led by a team of researchers from MBZUAI. Read more about CVQA in this paper.
+
+![CVQA statistics](https://cvqa-benchmark.org/images/full-statistics.png)
+
+# Dataset Creation
+
+## Source Data
+
+The images in CVQA can either be based on existing external images or from the contributor's own images. You can see this information from the 'Image Type' and 'Image Source' columns. Images based on external sources will retain their original licensing, whereas images from contributors will be licensed based on each contributor's decision.
+
+All the questions are hand-crafted by annotators.
+
+## Data Annotation
+
+Data creation follows two general steps: question formulation and validation. 
+During question formulation, annotators are asked to write a question, with one correct answer and three distractors.
+Questions must be culturally nuanced and relevant to the image. Annotators are asked to mask sensitive information and text that can easily give away the answers.
+During data validation, another annotator is asked to check and validate whether the images and questions adhere to the guidelines.
+
+You can learn more about our annotation protocol and guidelines in our paper.
+
+## Annotators
+
+Annotators needed to be fluent speakers of the language in question and be accustomed to the cultures of the locations for which they provided data. Our annotators are predominantly native speakers, with around 89% residing in the respective country for over 16 years.
+
+## Licensing Information
+
+Note that each question has its own license. All data here is free to use for research purposes, but not every entry is permissible for commercial use.
+
+---
+
+