SEACrowd/tico_19

TICO-19 (Translation Initiative for COVID-19) is sampled from a variety of public sources containing COVID-19 related content, representing different domains (e.g., news, wiki articles, and others). TICO-19 includes 30 documents (3071 sentences, 69.7k words) translated from English into 36 languages: Amharic, Arabic (Modern Standard), Bengali, Chinese (Simplified), Dari, Dinka, Farsi, French (European), Hausa, Hindi, Indonesian, Kanuri, Khmer (Central), Kinyarwanda, Kurdish Kurmanji, Kurdish Sorani, Lingala, Luganda, Malay, Marathi, Myanmar, Nepali, Nigerian Fulfulde, Nuer, Oromo, Pashto, Portuguese (Brazilian), Russian, Somali, Spanish (Latin American), Swahili, Congolese Swahili, Tagalog, Tamil, Tigrinya, Urdu, Zulu.

Languages

ind, ara, spa, fra, hin, por, rus, zho, eng, khm, zlm, mya, tgl, tam

Supported Tasks

Machine Translation

Dataset Usage

Using datasets library

from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/tico_19", trust_remote_code=True)

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("tico_19", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("tico_19"))
# 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://tico-19.github.io

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

CC0

Citation

If you are using the Tico 19 dataloader in your work, please cite the following:

@inproceedings{anastasopoulos-etal-2020-tico,
    title = "{TICO}-19: the Translation Initiative for {CO}vid-19",
    author = {Anastasopoulos, Antonios  and
      Cattelan, Alessandro  and
      Dou, Zi-Yi  and
      Federico, Marcello  and
      Federmann, Christian  and
      Genzel, Dmitriy  and
      Guzm{'a}n, Franscisco  and
      Hu, Junjie  and
      Hughes, Macduff  and
      Koehn, Philipp  and
      Lazar, Rosie  and
      Lewis, Will  and
      Neubig, Graham  and
      Niu, Mengmeng  and
      {"O}ktem, Alp  and
      Paquin, Eric  and
      Tang, Grace  and
      Tur, Sylwia},
    booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020",
    month = dec,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.nlpcovid19-2.5",
    doi = "10.18653/v1/2020.nlpcovid19-2.5",
}


@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}
}