A New Massive Multilingual Dataset for High-Performance Language Technologies
This provides a valuable resource for researchers and practitioners in natural language processing, especially for low- to medium-resourced languages, though it is incremental as it builds on existing data sources like CommonCrawl.
The authors tackled the lack of large-scale multilingual datasets by creating the HPLT resources, which include monolingual corpora covering 75 languages with ~5.6 trillion word tokens and a parallel corpus with 96 million aligned sentence pairs, making it one of the largest open text corpora released.
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.