{"url":"/dataset/wino-x","name":"Wino-X","full_name":null,"description_markdown":"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.\r\n\r\nThe 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.","description_withheld":null,"homepage":"https://github.com/demelin/wino-x","introduced_date":"2021-11-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/wino-x-multilingual-winograd-schemas-for","title":"Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution","first_author":"Denis Emelin","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Wino-X"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}