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Datasets:
toloka
/
WSDMCup2023

Tasks:
Visual Question Answering
Modalities:
Image
Tabular
Text
Formats:
csv
Sub-tasks:
visual-question-answering
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
toloka
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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metadata
annotations_creators:
  - crowdsourced
language:
  - en
language_creators:
  - crowdsourced
license:
  - cc-by-4.0
multilinguality:
  - monolingual
pretty_name: WSDMCup2023
size_categories:
  - 10K<n<100K
source_datasets: []
tags:
  - toloka
task_categories:
  - visual-question-answering
task_ids:
  - visual-question-answering
dataset_info:
  features:
    - name: image
      dtype: string
    - name: width
      dtype: int64
    - name: height
      dtype: int64
    - name: left
      dtype: int64
    - name: top
      dtype: int64
    - name: right
      dtype: int64
    - name: bottom
      dtype: int64
    - name: question
      dtype: string
  splits:
    - name: train
      num_examples: 38990
    - name: train_sample
      num_examples: 1000
    - name: test_public
      num_examples: 1705
    - name: test_private
      num_examples: 4504
  config_name: wsdmcup2023

Dataset Card for WSDMCup2023

Dataset Description

Question Image and Answer
What do you use to hit the ball? What do you use to hit the ball?
What do people use for cutting? What do people use for cutting?
What do we use to support the immune system and get vitamin C? What do we use to support the immune system and get vitamin C?

Dataset Summary

The WSDMCup2023 Dataset consists of images associated with textual questions. One entry (instance) in our dataset is a question-image pair labeled with the ground truth coordinates of a bounding box containing the visual answer to the given question. The images were obtained from a CC BY-licensed subset of the Microsoft Common Objects in Context dataset, MS COCO. All data labeling was performed on the Toloka crowdsourcing platform.

Our dataset has 45,199 instances split among three subsets: train (38,990 instances), public test (1,705 instances), 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.

Dataset Citation

Please cite the challenge results or dataset description as follows.

@inproceedings{TolokaWSDMCup2023,
  author    = {Ustalov, Dmitry and Pavlichenko, Nikita and Likhobaba, Daniil and Smirnova, Alisa},
  title     = {{WSDM~Cup 2023 Challenge on Visual Question Answering}},
  year      = {2023},
  booktitle = {Proceedings of the 4th Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling},
  pages     = {1--7},
  address   = {Singapore},
  issn      = {1613-0073},
  url       = {http://ceur-ws.org/Vol-3357/invited1.pdf},
  language  = {english},
}

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 the ground truth bounding box - left top and right bottom dots, and contains the question related to the picture.

{'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
  • height: value in pixels of image height
  • left: the x coordinate in pixels to determine the left-top dot of the bounding box
  • top: the y coordinate in pixels to determine the left-top dot of the bounding box
  • right: the x coordinate in pixels to determine the right-bottom dot of the bounding box
  • bottom: the y coordinate in pixels to determine the right-bottom dot of the bounding box
  • question: a question related to the picture

Data Splits

There are four splits in the data: train, train_sample, test_public, and test_private. 'train' split contains the full pull for model training. The 'train-sample' split contains the part of the 'train' split. The 'test_public' split contains public data to test the model. The 'test_private' split contains private data for the 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.

Annotations

All data labeling was performed on the Toloka crowdsourcing platform.

Only annotators who self-reported the knowledge of English had access to the annotation task.

Citation Information