Datasets:
Tasks:
Visual Question Answering
Formats:
csv
Sub-tasks:
visual-question-answering
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
toloka
License:
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](https://toloka.ai/challenges/wsdm2023) | |
- **Repository:** [WSDM Cup 2023 Starter Pack](https://github.com/Toloka/WSDMCup2023) | |
- **Paper:** | |
- **Leaderboard:** [CodaLab Competition Leaderboard](https://codalab.lisn.upsaclay.fr/competitions/7434#results) | |
- **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](https://cocodataset.org/). All data labeling was performed on the [Toloka crowdsourcing platform](https://toloka.ai/). | |
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. | |