We present the HPLT (High Performance Language Technologies) language resources, a new massive multilingual dataset including both monolingual and bilingual corpora extracted from CommonCrawl and previously unused web crawls from the Internet Archive. We describe our methods for data acquisition, management and processing of large corpora, which rely on open-source software tools and high-performance computing. Our monolingual collection focuses on low- to medium-resourced languages and covers 75 languages and a total of ~5.6 trillion word tokens de-duplicated on the document level. Our English-centric parallel corpus is derived from its monolingual counterpart and covers 18 language pairs and more than 96 million aligned sentence pairs with roughly 1.4 billion English tokens. The HPLT language resources are one of the largest open text corpora ever released, providing a great resource for language modeling and machine translation training. We publicly release the corpora, the software, and the tools used in this work.

翻译：我们提出了HPLT（高性能语言技术）语言资源，这是一个新的大规模多语言数据集，包含从CommonCrawl中提取的单语和双语语料库，以及来自互联网档案馆中先前未使用的网络爬取数据。我们描述了基于开源软件工具和高性能计算的大型语料库的数据获取、管理和处理方法。我们的单语集合聚焦于低资源和中等资源语言，涵盖75种语言，总计约5.6万亿个经过文档级去重的词元。我们的以英语为中心的平行语料库源自其单语对应物，覆盖18个语言对，超过9600万个对齐句对，包含约14亿个英语词元。HPLT语言资源是迄今为止发布的最大开放文本语料库之一，为语言建模和机器翻译训练提供了极佳的资源。我们公开发布了本研究中使用到的语料库、软件及工具。