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.
Mapping global dynamics of benchmark creation and saturation in
The Quick Guide to SQuAD. All the basic information you need to
PDF] i-Code: An Integrative and Composable Multimodal Learning
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How to Answer Questions with Machine Learning
XQuAD Dataset Papers With Code
Sensitivity to parameter choices on the Kazer et al.⁶ dataset and
How to Answer Questions with Machine Learning
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