What are Machine Translation datasets used for?

Machine Translation datasets are collections of labelled or raw data used to train, fine-tune, and evaluate models on the machine translation task. This page lists 42 such datasets, each linking to its source and paper.

Which Machine Translation dataset is best for benchmarking?

1 of these Machine Translation datasets are tracked as benchmarks, including ParCorFull. See the Benchmarks section for model leaderboards.

How many Machine Translation datasets are there?

We catalog 42 Machine Translation datasets in one searchable directory.

Machine Translation Datasets

There are 42 machine translation datasets in our directory, 1 of which are benchmarks. Each links to its source, paper, and download — browse the full list below or filter by language.

Machine Translation is the task of automatically converting text between languages while preserving meaning. We catalog 42 datasets for it.

What languages do machine translation datasets cover?

Multi-Lingual datasets (25)English datasets (12)German datasets (3)Japanese datasets (2)Finnish datasets (2)Swedish datasets (2)Hindi datasets (2)Portuguese datasets (1)French datasets (1)Catalan datasets (1)Spanish datasets (1)Igbo datasets (1)Indian datasets (1)Chinese datasets (1)Urhobo datasets (1)Yoruba datasets (1)

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What languages do machine translation datasets cover?

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Frequently asked questions

What are Machine Translation datasets used for?

Which Machine Translation dataset is best for benchmarking?

How many Machine Translation datasets are there?