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Text · dataset · 2022

Wino-X

Listed in Hugging Face Datasets

Description

Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English counterparts, used to examine whether neural machine translation models can perform coreference resolution that requires commonsense knowledge and whether multilingual language models are capable of commonsense reasoning across multiple languages.

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Where it is published

Catalogue records · 1

Topics

Stated by source
text · translation
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsdemelin/wino_x12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:translationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0