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
The Quick Guide to SQuAD. All the basic information you need to
XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
GitHub - chiahsuan156/Spoken-SQuAD: A spoken question answering
XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
How to Answer Questions with Machine Learning
XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
Number of questions in the original SQuAD 2.0 dataset and our
XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
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XQuAD Dataset  Papers With Code
An Introduction to Papers With Code: What It is And How to Use It
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