Datasets › Wino-X

Wino-X

Introduced by Denis Emelin et al. in Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution1 Nov 2021 archive 2025-07-28

The Wino-X dataset is a multilingual collection of Winograd Schemas. It was introduced as a tool for evaluating coreference resolution (CoR) and commonsense reasoning (CSR) capabilities of computational models. The dataset contains schemas in German, French, and Russian, aligned with their English counterparts.

The Wino-X dataset is designed for the evaluation of Neural Machine Translation (NMT) models and Multilingual Language Models (MLLMs). It contains two directories: mt_wino_x and lm_wino_x, designed for the evaluation of NMT models and MLLMs, respectively.

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

  • Wino-X

1 variant name, as the archive lists them.

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