Datasets:
Tasks:
Visual Question Answering
Formats:
csv
Sub-tasks:
visual-question-answering
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
toloka
License:
Update README.md
Browse files
README.md
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@@ -13,7 +13,8 @@ pretty_name: WSDMCup2023
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size_categories:
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- 10K<n<100K
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source_datasets: []
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tags:
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task_categories:
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- visual-question-answering
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task_ids:
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splits:
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- name: train
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num_examples: 38990
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- name:
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num_examples: 1705
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config_name: wsdmcup2023
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---
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the visual answer to the given question. The images were obtained from a CC BY-licensed subset of the Microsoft Common Objects in
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Context dataset, [MS COCO](https://cocodataset.org/). All data labeling was performed on the [Toloka crowdsourcing platform](https://toloka.ai/).
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and private test (4,504 instances). The entire train dataset
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The public test dataset
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size_categories:
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- 10K<n<100K
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source_datasets: []
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tags:
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- toloka
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task_categories:
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- visual-question-answering
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task_ids:
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splits:
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- name: train
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num_examples: 38990
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- name: test_public
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num_examples: 1705
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- name: test_private
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num_examples: 4504
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config_name: wsdmcup2023
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---
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the visual answer to the given question. The images were obtained from a CC BY-licensed subset of the Microsoft Common Objects in
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Context dataset, [MS COCO](https://cocodataset.org/). All data labeling was performed on the [Toloka crowdsourcing platform](https://toloka.ai/).
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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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