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ymoslem/UN-Arabic-English-Filtered

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下载链接:
https://hf-mirror.com/datasets/ymoslem/UN-Arabic-English-Filtered
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资源简介:
该数据集是一个包含英文和阿拉伯文文本对的平行语料库,主要用于机器翻译任务。数据集由MultiUN和UNPC数据集组成,并经过了基于规则和语义的过滤处理(训练集的过滤阈值>0.45,测试集和开发集的过滤阈值>0.9),同时使用了fasttext语言检测(阈值>=0.1)。数据集分为训练集、测试集和开发集,分别包含19279407、8752和8752个样本。数据集的总大小为9135431613字节,下载大小为5159323292字节。

This dataset is a parallel corpus containing English and Arabic text pairs, primarily used for machine translation tasks. The dataset is composed of the MultiUN and UNPC datasets, and has undergone rule-based and semantic filtering (train > 0.45 - test/dev > 0.9) as well as fasttext language detection (>= 0.1). The dataset is divided into training, test, and development sets, containing 19279407, 8752, and 8752 samples respectively. The total size of the dataset is 9135431613 bytes, with a download size of 5159323292 bytes.
提供机构:
ymoslem
原始信息汇总

数据集概述

数据集信息

  • 特征:
    • text_en: 英文文本,数据类型为字符串。
    • text_ar: 阿拉伯文文本,数据类型为字符串。
  • 分割:
    • train: 训练集,包含19,279,407个样本,占用9,128,039,564字节。
    • test: 测试集,包含8,752个样本,占用3,677,574字节。
    • dev: 开发集,包含8,752个样本,占用3,714,475字节。
  • 下载大小: 5,159,323,292字节
  • 数据集总大小: 9,135,431,613字节

配置

  • 默认配置:
    • train: 数据路径为data/train-*
    • test: 数据路径为data/test-*
    • dev: 数据路径为data/dev-*

任务类别

  • 翻译

语言

  • 阿拉伯语 (ar)
  • 英语 (en)

数据集规模

  • 10M < n < 100M

许可证

  • CC BY 4.0

数据集结构

DatasetDict({ train: Dataset({ features: [text_en, text_ar], num_rows: 19279407 }) test: Dataset({ features: [text_en, text_ar], num_rows: 8752 }) dev: Dataset({ features: [text_en, text_ar], num_rows: 8752 }) })

引用

@inproceedings{eisele-chen-2010-multiun, title = "{M}ulti{UN}: A Multilingual Corpus from United Nation Documents", author = "Eisele, Andreas and Chen, Yu", editor = "Calzolari, Nicoletta and Choukri, Khalid and Maegaard, Bente and Mariani, Joseph and Odijk, Jan and Piperidis, Stelios and Rosner, Mike and Tapias, Daniel", booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}10)", month = may, year = "2010", address = "Valletta, Malta", publisher = "European Language Resources Association (ELRA)", url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/686_Paper.pdf", }

@inproceedings{ziemski-etal-2016-united, title = "The {U}nited {N}ations Parallel Corpus v1.0", author = "Ziemski, Micha{l} and Junczys-Dowmunt, Marcin and Pouliquen, Bruno", editor = "Calzolari, Nicoletta and Choukri, Khalid and Declerck, Thierry and Goggi, Sara and Grobelnik, Marko and Maegaard, Bente and Mariani, Joseph and Mazo, Helene and Moreno, Asuncion and Odijk, Jan and Piperidis, Stelios", booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}16)", month = may, year = "2016", address = "Portoro{v{z}}, Slovenia", publisher = "European Language Resources Association (ELRA)", url = "https://aclanthology.org/L16-1561", pages = "3530--3534", }

@INPROCEEDINGS{Tiedemann2012-OPUS, title = "{Parallel Data, Tools and Interfaces in {OPUS}}", booktitle = "{Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}12)}", author = "Tiedemann, J{"o}rg", publisher = "European Language Resources Association (ELRA)", pages = "2214--2218", month = may, year = 2012, url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf", address = "Istanbul, Turkey" }

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