cosem / README.md
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metadata
license: cc0-1.0
language:
  - eng
pretty_name: Cosem
task_categories:
  - self-supervised-pretraining
tags:
  - self-supervised-pretraining

The CoSEM dataset consists of over 900,000 lines of online messages from the messaging platform WhatsApp collected from personal chat logs of students enrolled in an advanced sociolinguistics class from the National University of Singapore. Messages collected were from 2016 to 2019. The dataset is in .txt format, where each line of utterance is tagged with a unique identifier that includes its metadata such as line number, year message was sent, and age and nationality of sender.

Languages

eng

Supported Tasks

Self Supervised Pretraining

Dataset Usage

Using datasets library

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

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("cosem", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("cosem"))
# 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://github.com/wdwgonzales/CoSEM/blob/main/Corpus/COSEM_v4_publicrelease_SEP172023.zip

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Creative Commons Zero v1.0 Universal (cc0-1.0)

Citation

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

@article{gonzales_corpus_2021,
    title = {The {Corpus} of {Singapore} {English} {Messages} ({CoSEM})},
    issn = {0883-2919, 1467-971X},
    url = {https://onlinelibrary.wiley.com/doi/10.1111/weng.12534},
    doi = {10.1111/weng.12534},
    language = {en},
    urldate = {2022-02-19},
    journal = {World Englishes},
    author = {Gonzales, Wilkinson Daniel Wong and Hiramoto, Mie and R. E. Leimgruber, Jakob and Lim, Jun Jie},
    month = feb,
    year = {2021},
}


@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}
}