SEACrowd/uit_viic

UIT-ViIC contains manually written captions for images from Microsoft COCO dataset relating to sports played with ball. UIT-ViIC consists of 19,250 Vietnamese captions for 3,850 images. For each image, UIT-ViIC provides five Vietnamese captions annotated by five annotators.

Languages

vi

Supported Tasks

Image Captioning

Dataset Usage

Using datasets library

from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/uit_viic", trust_remote_code=True)

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("uit_viic", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("uit_viic"))
# Load the dataset using a specific config
dset = sc.load_dataset_by_config_name(config_name="<config_name>")

More details on how to load the seacrowd library can be found here.

Dataset Homepage

https://drive.google.com/file/d/1YexKrE6o0UiJhFWpE8M5LKoe6-k3AiM4

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Unknown (unknown)

Citation

If you are using the Uit Viic dataloader in your work, please cite the following:

@InProceedings{10.1007/978-3-030-63007-2_57,
author="Lam, Quan Hoang
and Le, Quang Duy
and Nguyen, Van Kiet
and Nguyen, Ngan Luu-Thuy",
editor="Nguyen, Ngoc Thanh
and Hoang, Bao Hung
and Huynh, Cong Phap
and Hwang, Dosam
and Trawi{'{n}}ski, Bogdan
and Vossen, Gottfried",
title="UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning",
booktitle="Computational Collective Intelligence",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="730--742",
abstract="Image Captioning (IC), the task of automatic generation of image captions, has attracted
attentions from researchers in many fields of computer science, being computer vision, natural language
processing and machine learning in recent years. This paper contributes to research on Image Captioning
task in terms of extending dataset to a different language - Vietnamese. So far, there has been no existed
Image Captioning dataset for Vietnamese language, so this is the foremost fundamental step for developing
Vietnamese Image Captioning. In this scope, we first built a dataset which contains manually written
captions for images from Microsoft COCO dataset relating to sports played with balls, we called this dataset
UIT-ViIC (University Of Information Technology - Vietnamese Image Captions). UIT-ViIC consists of 19,250
Vietnamese captions for 3,850 images. Following that, we evaluated our dataset on deep neural network models
and did comparisons with English dataset and two Vietnamese datasets built by different methods. UIT-ViIC
is published on our lab website (https://sites.google.com/uit.edu.vn/uit-nlp/) for research purposes.",
isbn="978-3-030-63007-2"
}


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
    year={2024},
    eprint={2406.10118},
    journal={arXiv preprint arXiv: 2406.10118}
}