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KLEJ
The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding task.
Key benchmark features:
- It contains a diverse set of tasks from different domains and with different objectives.
- Most tasks are created from existing datasets but the authors also released the new sentiment analysis dataset from an e-commerce domain.
- It includes tasks which have relatively small datasets and require extensive external knowledge to solve them. It promotes the usage of transfer learning instead of training separate models from scratch.
The name KLEJ (English: GLUE) is an abbreviation for Kompleksowa Lista Ewaluacji Językowych (English: Comprehensive List of Language Evaluations) and refers to the GLUE benchmark.
Source: KLEJ
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 13 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
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
Languages archive 2025-07-28
Variants archive 2025-07-28
- KLEJ
1 variant name, as the archive lists them.
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