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SEACrowd/tha_lao_embassy_parcor

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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/tha_lao_embassy_parcor
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资源简介:
Thai-Lao平行语料库包含从老挝万象的泰国皇家大使馆网站提取的泰语和老挝语平行句子对。该数据集支持机器翻译任务,并提供了使用`datasets`和`seacrowd`库加载数据集的方法。数据集的版本信息、许可证和引用信息也被详细列出。

The Thai-Lao Parallel Corpus contains equivalent Thai and Lao sentence pairs derived from the website of the Royal Thai Embassy in Vientiane, Laos. The dataset supports machine translation tasks and provides methods to load the dataset using the `datasets` and `seacrowd` libraries. The datasets version information, license, and citation details are also provided.
提供机构:
SEACrowd
原始信息汇总

Tha Lao Embassy Parcor 数据集概述

基本信息

  • 数据集名称: Tha Lao Embassy Parcor
  • 语言: 泰语 (tha), 老挝语 (lao)
  • 任务类别: 机器翻译
  • 标签: 机器翻译
  • 许可证: Creative Commons Zero v1.0 Universal (cc0-1.0)

数据集描述

Thai-Lao Parallel Corpus 包含从老挝万象的泰国皇家大使馆网站中提取的泰语和老挝语句子对。

支持的任务

  • 机器翻译

数据集版本

  • 源版本: 0.7.0
  • SEACrowd 版本: 2024.06.20

数据集加载方式

使用 datasets

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

检查数据集的所有可用子集(配置名称)

print(sc.available_config_names("tha_lao_embassy_parcor"))

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/PyThaiNLP/Thai-Lao-Parallel-Corpus/tree/master

引用

如果使用 Tha Lao Embassy Parcor 数据集,请引用以下内容:

Wannaphong Phatthiyaphaibun. (2021). PyThaiNLP/Thai-Lao-Parallel-Corpus: Thai Lao Parallel corpus v0.7 (v0.7). Zenodo https://doi.org/10.5281/zenodo.5807093

@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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