license: unknown
language:
- ind
- tha
- vie
pretty_name: Globalwoz
task_categories:
- e2e-task-oriented-dialogue
tags:
- e2e-task-oriented-dialogue
This is the data of the paper “GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems” accepted by ACL 2022. The dataset contains several sub-datasets in 20 languages and 3 schemes (F&E, E&F, F&F), including Indonesian (id), Thai (th), and Vietnamese (vi) language. The method is based on translating dialogue templates and filling them with local entities in the target language countries.
This is a local dataset. You have to obtain this dataset separately from {homepage} to use this dataloader.
Languages
ind, tha, vie
Supported Tasks
E2E Task Oriented Dialogue
Dataset Usage
Using datasets library
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/globalwoz", trust_remote_code=True)
Using seacrowd library
# Load the dataset using the default config
dset = sc.load_dataset("globalwoz", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("globalwoz"))
# 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/bosheng2020/globalwoz
Dataset Version
Source: 2.0.0. SEACrowd: 2024.06.20.
Dataset License
Unknown (unknown)
Citation
If you are using the Globalwoz dataloader in your work, please cite the following:
@inproceedings{ding-etal-2022-globalwoz,
title = "{G}lobal{W}o{Z}: Globalizing {M}ulti{W}o{Z} to Develop Multilingual Task-Oriented Dialogue Systems",
author = "Ding, Bosheng and
Hu, Junjie and
Bing, Lidong and
Aljunied, Mahani and
Joty, Shafiq and
Si, Luo and
Miao, Chunyan",
editor = "Muresan, Smaranda and
Nakov, Preslav and
Villavicencio, Aline",
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = may,
year = "2022",
}
@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}
}