license: cc0-1.0
language:
- eng
- fil
pretty_name: Tcope
task_categories:
- pos-tagging
- dependency-parsing
tags:
- pos-tagging
- dependency-parsing
The TCOPE dataset consists of public tweets (amounting to about 13.5 million words) collected from 13 major cities from the Philippines. Tweets are either purely in English or involve code-switching between English and Filipino. Tweets are tagged for part-of-speech and dependency parsing using spaCy. Tweets collected are from 2010 to 2021. The publicly available dataset is only a random sample (10%) from the whole TCOPE dataset, which consist of roughly 27 million tweets (amounting to about 135 million words) collected from 29 major cities during the same date range.
Languages
eng, fil
Supported Tasks
Pos Tagging, Dependency Parsing
Dataset Usage
Using datasets library
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/tcope", trust_remote_code=True)
Using seacrowd library
# Load the dataset using the default config
dset = sc.load_dataset("tcope", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("tcope"))
# 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://osf.io/3q5pw/wiki/home/
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 Tcope dataloader in your work, please cite the following:
@article{gonzales_broadening_2023,
author = {Gonzales, Wilkinson Daniel Wong},
title = {Broadening horizons in the diachronic and sociolinguisstic study of
Philippine Englishes with the Twitter Corpus of Philippine Englishes (TCOPE)},
journal = {English World-Wide},
year = {2023},
url = {https://osf.io/k3qzx},
doi = {10.17605/OSF.IO/3Q5PW},
}
@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}
}