SEACrowd/xquad

XQuAD（跨语言问答数据集）是一个用于评估跨语言问答性能的基准数据集。该数据集包含来自SQuAD v1.1开发集的240个段落和1190个问题-答案对，并已专业翻译成十种语言，包括西班牙语、德语、希腊语、俄语、土耳其语、阿拉伯语、越南语、泰语、中文和印地语。在此数据加载器中，特别提供了越南语和泰语的翻译。数据集支持问答任务，并提供了使用`datasets`和`seacrowd`库加载数据的方法。

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 together with their professional translations into ten languages in their original implementation: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi and two in this dataloader: Vietnamese & Thai. The dataset supports the task of question answering and provides methods to load the data using the `datasets` and `seacrowd` libraries.

原始信息汇总

XQuAD 数据集概述

数据集简介

XQuAD (Cross-lingual Question Answering Dataset) 是一个用于评估跨语言问答性能的基准数据集。该数据集包含来自 SQuAD v1.1 开发集的 240 个段落和 1190 个问答对，并被专业翻译成十种语言：西班牙语、德语、希腊语、俄语、土耳其语、阿拉伯语、越南语、泰语、中文和印地语。在此数据加载器中，还额外提供了越南语和泰语的翻译。

语言

• 泰语 (tha)
• 越南语 (vie)

支持的任务

• 问答 (Question Answering)

数据集使用

使用 datasets 库

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

使用 seacrowd 库

python import seacrowd as sc

使用默认配置加载数据集

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

查看数据集的所有可用子集（配置名称）

print(sc.available_config_names("xquad"))

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/google-deepmind/xquad

数据集版本

• 源版本: 1.0.0
• SEACrowd 版本: 2024.06.20

数据集许可证

Creative Commons Attribution Share Alike 4.0 (cc-by-sa-4.0)

引用

如果您在工作中使用了 Xquad 数据加载器，请引用以下内容：

@article{Artetxe:etal:2019, author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama}, title = {On the cross-lingual transferability of monolingual representations}, journal = {CoRR}, volume = {abs/1910.11856}, year = {2019}, archivePrefix = {arXiv}, eprint = {1910.11856} }

@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} }