Update read.me for better description

README.md

@@ -70,3 +70,61 @@ Our dataset has 45,199 instances split among three subsets: train (38,990 instan
 and private test (4,504 instances). The entire train dataset was available for everyone since the start of the challenge.
 The public test dataset was available since the evaluation phase of the competition, but without any ground truth labels.
 After the end of the competition, public and private sets were released.
+
+### Supported Tasks and Leaderboards
+
+The Visual Question Answering.
+
+### Language
+
+English
+
+## Dataset Structure
+
+### Data Instances
+A data instance contains a url to the picture, information about the image size - width and height,
+information about ground truth bounding box - left top and right bottom dots, 
+contains the question related to the picture.
+image,width,height,left,top,right,bottom,question
+```
+{'image': https://toloka-cdn.azureedge.net/wsdmcup2023/000000000013.jpg,
+'width': 640,
+'height': 427,
+'left': 129,
+'top': 192,
+'right': 155,
+'bottom': 212,
+'question': What does it use to breath?}
+```
+### Data Fields
+
+* image: contains url to the image
+* width: value in pixels of image width
+* heigth: value in pixels of image height
+* left: the x coordinate in pixels to determin left-top dot of bounding box
+* top: the y coordinate in pixels to determin left-top dot of bounding box
+* right: the x coordinate in pixels to determin right-bottom dot of bounding box
+* bottom: the y coordinate in pixels to determin right-bottom dot of bounding box
+* question: a question related to the picture
+
+### Data Splits
+There are four splits in the data: train, train_sample, test_public, test_private. 'train' split contains the full pull for model training.
+'train-sample' split contains the part of 'train' split. 'test_public' split contains public data to test the model. 
+'test_private' split contains private data for final model test.
+
+### Source Data
+
+The images were obtained from a CC BY-licensed subset of the Microsoft Common Objects in
+Context dataset, [MS COCO](https://cocodataset.org/).
+
+### Annotations
+
+All data labeling was performed on the [Toloka crowdsourcing platform](https://toloka.ai/).
+
+Only annotators who self-reported the knowledge of English had access to the annotation task.
+
+### Citation Information
+
+* Competition: https://toloka.ai/challenges/wsdm2023
+* CodaLab: https://codalab.lisn.upsaclay.fr/competitions/7434
+* Dataset: https://doi.org/10.5281/zenodo.7057740