Datasets:
Tasks:
Visual Question Answering
Formats:
csv
Sub-tasks:
visual-question-answering
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
toloka
License:
The text-grammar check
#6
by
Senarect
- opened
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
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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
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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,
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```
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### Data Fields
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* image: contains
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* width: value in pixels of image width
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*
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* left: the x coordinate in pixels to
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* top: the y coordinate in pixels to
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* right: the x coordinate in pixels to
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* bottom: the y coordinate in pixels to
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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),
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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
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* right: the x coordinate in pixels to determine the right-bottom dot of the bounding box
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* 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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139 |
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