Datasets:
license: mit
language:
- ind
- jav
- sun
pretty_name: Mabl
task_categories:
- question-answering
tags:
- question-answering
The MABL (Metaphors Across Borders and Languages) dataset is a collection of
6,366 figurative language expressions from seven languages, crafted to improve
multilingual models' understanding of figurative speech and its linguistic
variations. It was built by crowdsourcing native speakers to generate paired
metaphors that began with the same words but had different meanings, as well as
the literal interpretations of both phrases. Each expression was checked by
fluent speakers to ensure they were clear, appropriate, and followed the format,
discarding any that didn't meet these standards.
Languages
ind, jav, sun
Supported Tasks
Question Answering
Dataset Usage
Using datasets library
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/mabl", trust_remote_code=True)
Using seacrowd library
# Load the dataset using the default config
dset = sc.load_dataset("mabl", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("mabl"))
# 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/simran-khanuja/Multilingual-Fig-QA
Dataset Version
Source: 1.0.0. SEACrowd: 2024.06.20.
Dataset License
MIT (mit)
Citation
If you are using the Mabl dataloader in your work, please cite the following:
@inproceedings{kabra-etal-2023-multi,
title = "Multi-lingual and Multi-cultural Figurative Language Understanding",
author = "Kabra, Anubha and
Liu, Emmy and
Khanuja, Simran and
Aji, Alham Fikri and
Winata, Genta and
Cahyawijaya, Samuel and
Aremu, Anuoluwapo and
Ogayo, Perez and
Neubig, Graham",
editor = "Rogers, Anna and
Boyd-Graber, Jordan and
Okazaki, Naoaki",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-acl.525",
doi = "10.18653/v1/2023.findings-acl.525",
pages = "8269--8284",
}
@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}
}