Datasets:
Tasks:
Visual Question Answering
Formats:
csv
Sub-tasks:
visual-question-answering
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
toloka
License:
parquet-converter
commited on
Commit
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Parent(s):
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Update parquet files
Browse files- README.md +0 -67
- test_public_example.csv +0 -0
- train.csv +0 -0
- train_sample.csv +0 -0
- wsdmcup2023/csv-test_private.parquet +3 -0
- wsdmcup2023/csv-test_public.parquet +3 -0
- wsdmcup2023/csv-train.parquet +3 -0
- wsdmcup2023/csv-train_sample.parquet +3 -0
README.md
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---
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annotations_creators:
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- crowdsourced
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language:
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- en
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language_creators:
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- crowdsourced
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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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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- visual-question-answering
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dataset_info:
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features:
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- name: image
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dtype: string
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- name: width
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dtype: int64
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- name: height
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dtype: int64
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- name: left
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dtype: int64
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- name: top
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dtype: int64
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- name: right
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dtype: int64
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- name: bottom
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dtype: int64
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- name: question
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dtype: string
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splits:
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- name: train
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num_examples: 38990
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- name: test
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num_examples: 1705
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config_name: wsdmcup2023
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---
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# Dataset Card for WSDMCup2023
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## Dataset Description
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- **Homepage:** [Toloka Visual Question Answering Challenge](https://toloka.ai/challenges/wsdm2023)
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- **Repository:** [WSDM Cup 2023 Starter Pack](https://github.com/Toloka/WSDMCup2023)
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- **Paper:**
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- **Leaderboard:** [CodaLab Competition Leaderboard](https://codalab.lisn.upsaclay.fr/competitions/7434#results)
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- **Point of Contact:** [email protected]
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### Dataset Summary
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The WSDMCup2023 Dataset consists of images associated with textual questions.
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One entry (instance) in our dataset is a question-image pair labeled with the ground truth coordinates of a bounding box containing
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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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The 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 will be available for everyone from the start of the challenge.
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The public test dataset will be available during the evaluation phase of the competition but without any ground truth labels.
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The private test dataset will not be available until the challenge ends.
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test_public_example.csv
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train.csv
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train_sample.csv
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wsdmcup2023/csv-test_private.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6a26f02814e594f9a257d0978c66e86a0d0b37d578fbcb0aae48f4a48c6e12f
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size 215349
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wsdmcup2023/csv-test_public.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8d8902745ad811dab83b3f44b57040937172e0b618ea497fe093ecfc95121e7
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size 84081
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wsdmcup2023/csv-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:49ec9cd9ebebd6b185c25924d90769f58943707e6e97a3be6dc41b6432805bd3
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size 1786765
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wsdmcup2023/csv-train_sample.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:212ffeec897c12501cf294cbfdcd6acf924fda5888159929ae4583b9c3ab8a02
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size 49147
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