license: cc-by-4.0
language:
- vie
pretty_name: Vsolscsum
task_categories:
- summarization
tags:
- summarization
The Vietnamese dataset for social context summarization The dataset contains 141 open-domain articles along with 3,760 sentences, 2,448 extracted standard sentences and comments as standard summaries and 6,926 comments in 12 events. This dataset was manually annotated by human. Note that the extracted standard summaries also include comments. The label of a sentence or comment was generated based on the voting among social annotators. For example, given a sentence, each annotator makes a binary decision in order to indicate that whether this sentence is a summary candidate (YES) or not (NO). If three annotators agree yes, this sentences is labeled by 3. Therefore, the label of each sentence or comment ranges from 1 to 5 (1: very poor, 2: poor, 3: fair, 4: good; 5: perfect). The standard summary sentences are those which receive at least three agreements from annotators. The inter-agreement calculated by Cohen's Kappa after validation among annotators is 0.685.
Languages
vie
Supported Tasks
Summarization
Dataset Usage
Using datasets library
from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/vsolscsum", trust_remote_code=True)
Using seacrowd library
# Load the dataset using the default config
dset = sc.load_dataset("vsolscsum", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("vsolscsum"))
# 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](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
Dataset Homepage
https://github.com/nguyenlab/VSoLSCSum-Dataset
Dataset Version
Source: 1.0.0. SEACrowd: 2024.06.20.
Dataset License
Creative Commons Attribution 4.0 (cc-by-4.0)
Citation
If you are using the Vsolscsum dataloader in your work, please cite the following:
@inproceedings{nguyen-etal-2016-vsolscsum,
title = "{VS}o{LSCS}um: Building a {V}ietnamese Sentence-Comment Dataset for Social Context Summarization",
author = "Nguyen, Minh-Tien and
Lai, Dac Viet and
Do, Phong-Khac and
Tran, Duc-Vu and
Nguyen, Minh-Le",
editor = "Hasida, Koiti and
Wong, Kam-Fai and
Calzorari, Nicoletta and
Choi, Key-Sun",
booktitle = "Proceedings of the 12th Workshop on {A}sian Language Resources ({ALR}12)",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/W16-5405",
pages = "38--48",
}
@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}
}