Datasets:
license: cc-by-nc-4.0
language:
- ind
- vie
- zlm
- fil
pretty_name: Seaeval
task_categories:
- commonsense-reasoning
- question-answering
tags:
- commonsense-reasoning
- question-answering
SeaEval is a benchmark toolkit for evaluating multilingual LLMs. The benchmark contains 28 datasets, covering 7 languages. It contains 2 datasets for cross-lingual consistency, each containing parallel questions for the 7 represented languages. It alsoc ontains 4 datasets for cultural reasoning (multiple choice Q&A) that are in English but focused on regions including Singapore and Philipines.
This dataloader provides examples for Indonesia, Vietnamese, Malay, and Filipino.
Languages
ind, vie, zlm, fil
Supported Tasks
Commonsense Reasoning, Question Answering
Dataset Usage
Using datasets library
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/seaeval", trust_remote_code=True)
Using seacrowd library
# Load the dataset using the default config
dset = sc.load_dataset("seaeval", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("seaeval"))
# 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/SeaEval/SeaEval
Dataset Version
Source: 1.0.0. SEACrowd: 2024.06.20.
Dataset License
Creative Commons Attribution Non Commercial 4.0 (cc-by-nc-4.0)
Citation
If you are using the Seaeval dataloader in your work, please cite the following:
@article{SeaEval2023,
title={SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning},
author={Wang, Bin and Liu, Zhengyuan and Huang, Xin and Jiao, Fangkai and Ding, Yang and Aw, Ai Ti and Chen, Nancy F.},
journal={arXiv preprint arXiv:2309.04766},
year={2023},
url={https://github.com/SeaEval/SeaEval}
}
@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}
}