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: []
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: test
      num_examples: 1705
  config_name: wsdmcup2023

Dataset Card for WSDMCup2023

Dataset Description

Homepage: Toloka Visual Question Answering Challenge
Repository: WSDM Cup 2023 Starter Pack
Paper:
Leaderboard: CodaLab Competition Leaderboard
Point of Contact: [email protected]

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.

The 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 will be available for everyone from the start of the challenge. The public test dataset will be available during the evaluation phase of the competition but without any ground truth labels. The private test dataset will not be available until the challenge ends.