XQuAD Dataset Papers With Code

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Descrição

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Consequently, the dataset is entirely parallel across 11 languages.
XQuAD Dataset  Papers With Code
iFLYTEK & HIT Reading Comprehension Model Betters Humans, Tops
XQuAD Dataset  Papers With Code
Multi-domain Multilingual Question Answering
XQuAD Dataset  Papers With Code
Commonsense knowledge adversarial dataset that challenges ELECTRA
XQuAD Dataset  Papers With Code
ACL Best Paper: Tricky Stanford DataSet Adds Questions That Don't
XQuAD Dataset  Papers With Code
GitHub - google-deepmind/xquad
XQuAD Dataset  Papers With Code
SQuAD2.0 Benchmark (Question Answering)
XQuAD Dataset  Papers With Code
XQuAD Dataset Papers With Code
XQuAD Dataset  Papers With Code
UAVVaste Dataset Papers With Code
XQuAD Dataset  Papers With Code
Many Languages, One Deep Learning Model
XQuAD Dataset  Papers With Code
The Quick Guide to SQuAD. All the basic information you need to
XQuAD Dataset  Papers With Code
How to Answer Questions with Machine Learning
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