SEACrowd/mabl

MABL（跨边界和语言的隐喻）数据集是一个包含6,366个来自七种语言的比喻性语言表达的集合，旨在提高多语言模型对比喻性语言及其语言变体的理解。该数据集通过众包方式由母语者生成，生成了以相同词开头但意义不同的成对隐喻，以及这两个短语的字面解释。每个表达都经过流利说话者的检查，以确保其清晰、适当并符合格式要求，未达到这些标准的表达被丢弃。

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 didnt meet these standards.

原始信息汇总

Mabl 数据集概述

数据集简介

Mabl（Metaphors Across Borders and Languages）数据集是一个包含6,366个比喻语言表达的集合，涵盖七种语言。该数据集旨在提升多语言模型对比喻性语言及其语言变体的理解。数据集通过众包方式由母语者生成配对的比喻表达，这些表达以相同的词语开始但具有不同的含义，并包含对两个短语的字面解释。每个表达都经过流利母语者的审核，确保其清晰、合适并符合格式要求，不符合标准的表达被剔除。

语言

• 印尼语 (ind)
• 爪哇语 (jav)
• 巽他语 (sun)

支持的任务

• 问答 (Question Answering)

数据集版本

• 源版本: 1.0.0
• SEACrowd版本: 2024.06.20

数据集许可证

• MIT (mit)

引用

如果使用Mabl数据集，请引用以下文献：

@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} }

搜集汇总

背景与挑战

背景概述

MABL数据集是一个多语言比喻性语言理解数据集，包含6,366个来自七种语言（包括印尼语、爪哇语和巽他语）的比喻表达，旨在提升多语言模型对比喻性语言及其变体的理解能力。该数据集通过众包由母语者生成并经过严格质量检查，适用于问答任务，采用MIT许可证发布。