Datasets › ScaLA

ScaLA

Introduced by Dan Saattrup Nielsen in ScandEval: A Benchmark for Scandinavian Natural Language Processing3 Apr 2023 archive 2025-07-28

The ScaLA dataset is a linguistic acceptability dataset for the Scandinavian languages, including Danish, Norwegian Bokmål, Norwegian Nynorsk, Swedish, Icelandic, and Faroese. It was developed as part of the ScandEval benchmarking platform and consists of sentences in these languages that are either grammatically correct or incorrect. The dataset is designed to evaluate the ability of language models to distinguish between grammatically correct and incorrect sentences in the Scandinavian languages. It is one of the contributions of the ScandEval project, aiming to advance the state of natural language processing in the Scandinavian languages.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ScaLA

1 variant name, as the archive lists them.

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