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HPLT~3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

arXiv — cs.CL•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

HPLT~3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

The launch of HPLT~3.0 marks a significant advancement in multilingual resources for language models and machine translation. With an impressive 30 trillion tokens, this initiative aims to provide high-quality, richly annotated datasets for nearly 200 languages, making it the largest collection of its kind available. This is crucial for researchers and developers as it enhances the capabilities of language models, enabling better understanding and translation across diverse languages, ultimately fostering global communication.
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