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SEACrowd/vlogqa

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Hugging Face2024-06-24 更新2024-06-29 收录
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https://hf-mirror.com/datasets/SEACrowd/vlogqa
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资源简介:
VlogQA是一个用于机器阅读理解的越南语口语语料库。它包含10,076个问答对,基于1,230个来自YouTube视频的转录文档,主题围绕食物和旅行。该数据集主要用于非盈利研究和教育目的,不允许商业使用或重新分发。

VlogQA is a Vietnamese spoken language corpus for machine reading comprehension. It consists of 10,076 question-answer pairs based on 1,230 transcript documents sourced from YouTube videos around food and travel. The dataset is intended for non-profit research and educational purposes only, and is not allowed for commercial use or redistribution.
提供机构:
SEACrowd
原始信息汇总

VlogQA 数据集概述

基本信息

  • 名称: VlogQA
  • 语言: 越南语 (vie)
  • 任务类别: 问答 (question-answering)
  • 标签: 问答 (question-answering)

数据集描述

  • 内容: 包含10,076个问答对,基于1,230个来自YouTube视频的转录文档,主题涉及食物和旅行。
  • 来源: YouTube视频

使用方法

使用 datasets

python from datasets import load_dataset dset = datasets.load_dataset("SEACrowd/vlogqa", trust_remote_code=True)

使用 seacrowd

python import seacrowd as sc

使用默认配置加载数据集

dset = sc.load_dataset("vlogqa", schema="seacrowd")

查看所有可用子集(配置名称)

print(sc.available_config_names("vlogqa"))

使用特定配置加载数据集

dset = sc.load_dataset_by_config_name(config_name="<config_name>")

数据集版本

  • 源版本: 1.0.0
  • SEACrowd版本: 2024.06.20

许可证

  • 类型: 其他许可证 (other)
  • 条款:
    1. 仅用于非盈利的自然语言处理和教育研究。
    2. 禁止用于商业系统。
    3. 禁止重新分发数据集。
    4. 可以生成和发布数据集的摘要、分析和解释,前提是这些信息无法重建原始数据。
    5. 使用数据集的研究工作必须引用指定的论文。

引用

bibtex @inproceedings{ngo-etal-2024-vlogqa, title = "{V}log{QA}: Task, Dataset, and Baseline Models for {V}ietnamese Spoken-Based Machine Reading Comprehension", author = "Ngo, Thinh and Dang, Khoa and Luu, Son and Nguyen, Kiet and Nguyen, Ngan", editor = "Graham, Yvette and Purver, Matthew", booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)", month = mar, year = "2024", address = "St. Julian{}s, Malta", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2024.eacl-long.79", pages = "1310--1324", }

@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} }

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