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Dataset · Hugging Face

microsoft/xglue

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained models with respect to cross-lingual natural language understanding and generation. The benchmark is composed of the following 11 tasks: - NER - POS Tagging (POS) - News Classification (NC) - MLQA - XNLI - PAWS-X - Query-Ad Matching (QADSM) - Web Page Ranking (WPR) - QA Matching (QAM) - Question Generation (QG) - News Title Generation (NTG) For more information, please take a look at https://microsoft.github.io/XGLUE/.

Author / organizationmicrosoft
License (as declared)other
Downloads308 (as reported by Hugging Face)
Likes27
Created2 March 2022
Last updated at source30 June 2023
paraphrase-identificationquestion-answering
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