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The text-grammar check

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I checked all the text with Grammarly and fix all the issues

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  1. README.md +11 -14
README.md CHANGED
@@ -74,7 +74,7 @@ Context dataset, [MS COCO](https://cocodataset.org/). All data labeling was perf
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  Our dataset has 45,199 instances split among three subsets: train (38,990 instances), public test (1,705 instances),
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  and private test (4,504 instances). The entire train dataset was available for everyone since the start of the challenge.
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- The public test dataset was available since the evaluation phase of the competition, but without any ground truth labels.
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  After the end of the competition, public and private sets were released.
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  ## Dataset Citation
@@ -108,10 +108,7 @@ English
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  ## Dataset Structure
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  ### Data Instances
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- A data instance contains a url to the picture, information about the image size - width and height,
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- information about ground truth bounding box - left top and right bottom dots,
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- contains the question related to the picture.
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- image,width,height,left,top,right,bottom,question
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  ```
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  {'image': https://toloka-cdn.azureedge.net/wsdmcup2023/000000000013.jpg,
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  'width': 640,
@@ -124,19 +121,19 @@ image,width,height,left,top,right,bottom,question
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  ```
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  ### Data Fields
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- * image: contains url to the image
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  * width: value in pixels of image width
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- * heigth: value in pixels of image height
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- * left: the x coordinate in pixels to determin left-top dot of bounding box
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- * top: the y coordinate in pixels to determin left-top dot of bounding box
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- * right: the x coordinate in pixels to determin right-bottom dot of bounding box
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- * bottom: the y coordinate in pixels to determin right-bottom dot of bounding box
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  * question: a question related to the picture
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  ### Data Splits
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- There are four splits in the data: train, train_sample, test_public, test_private. 'train' split contains the full pull for model training.
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- 'train-sample' split contains the part of 'train' split. 'test_public' split contains public data to test the model.
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- 'test_private' split contains private data for final model test.
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  ### Source Data
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  Our dataset has 45,199 instances split among three subsets: train (38,990 instances), public test (1,705 instances),
76
  and private test (4,504 instances). The entire train dataset was available for everyone since the start of the challenge.
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+ The public test dataset was available since the evaluation phase of the competition but without any ground truth labels.
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  After the end of the competition, public and private sets were released.
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  ## Dataset Citation
 
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  ## Dataset Structure
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  ### Data Instances
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+ A data instance contains a URL to the picture, information about the image size - width and height, information about the ground truth bounding box - left top and right bottom dots, and contains the question related to the picture.
 
 
 
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  ```
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  {'image': https://toloka-cdn.azureedge.net/wsdmcup2023/000000000013.jpg,
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  'width': 640,
 
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  ```
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  ### Data Fields
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+ * image: contains URL to the image
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  * width: value in pixels of image width
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+ * height: value in pixels of image height
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+ * left: the x coordinate in pixels to determine the left-top dot of the bounding box
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+ * top: the y coordinate in pixels to determine the left-top dot of the bounding box
129
+ * right: the x coordinate in pixels to determine the right-bottom dot of the bounding box
130
+ * bottom: the y coordinate in pixels to determine the right-bottom dot of the bounding box
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  * question: a question related to the picture
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  ### Data Splits
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+ There are four splits in the data: train, train_sample, test_public, and test_private. 'train' split contains the full pull for model training.
135
+ The 'train-sample' split contains the part of the 'train' split. The 'test_public' split contains public data to test the model.
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+ The 'test_private' split contains private data for the final model test.
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  ### Source Data
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