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SEACrowd/wrete

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Hugging Face2024-06-24 更新2024-03-04 收录
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https://hf-mirror.com/datasets/SEACrowd/wrete
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资源简介:
WReTe(维基百科修订编辑文本蕴含数据集)由Setya和Mahendra于2018年创建,包含450对来自维基百科修订历史的句子对。每对句子之间有一个二元的语义关系标签,表示第二个句子的含义是否可以从第一个句子中推导出来。如果第二个句子的含义可以从第一个句子中推导出来,则标记为‘蕴含’,否则标记为‘不蕴含’。该数据集主要用于文本蕴含任务。
提供机构:
SEACrowd
原始信息汇总

WReTe 数据集概述

基本信息

  • 名称: WReTe
  • 全称: Wiki Revision Edits Textual Entailment dataset
  • 作者: Setya 和 Mahendra (2018)
  • 语言: 印度尼西亚语 (ind)
  • 任务类别: 文本蕴含 (textual-entailment)
  • 标签: 文本蕴含 (textual-entailment)

数据集描述

WReTe 数据集包含 450 对从维基百科修订历史中构建的句子对。数据集中的句子对具有二元语义关系,标记为“蕴含”(entailed)当第二个句子的意义可以从第一个句子推导出来,否则标记为“非蕴含”(not entailed)。

支持的任务

  • 文本蕴含 (Textual Entailment)

数据集使用

使用 datasets

python from datasets import load_dataset dset = datasets.load_dataset("SEACrowd/wrete", 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("wrete", schema="seacrowd")

检查数据集的所有可用子集(配置名称)

print(sc.available_config_names("wrete"))

使用特定配置加载数据集

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

数据集主页

https://github.com/IndoNLP/indonlu

数据集版本

  • 源版本: 1.0.0
  • SEACrowd 版本: 2024.06.20

数据集许可证

Creative Common Attribution Share-Alike 4.0 International

引用

如果您在使用 Wrete 数据集,请引用以下内容: bibtex @INPROCEEDINGS{8904199, author={Purwarianti, Ayu and Crisdayanti, Ida Ayu Putu Ari}, booktitle={2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)}, title={Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector}, year={2019}, pages={1-5}, doi={10.1109/ICAICTA.2019.8904199} }

@inproceedings{wilie2020indonlu, title={IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding}, author={Wilie, Bryan and Vincentio, Karissa and Winata, Genta Indra and Cahyawijaya, Samuel and Li, Xiaohong and Lim, Zhi Yuan and Soleman, Sidik and Mahendra, Rahmad and Fung, Pascale and Bahar, Syafri and others}, booktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing}, pages={843--857}, year={2020} }

@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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