XQuAD Dataset Papers With Code

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Last updated 16 novembro 2024
XQuAD Dataset  Papers With Code
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
PDF] VulBERTa: Simplified Source Code Pre-Training for
XQuAD Dataset  Papers With Code
Fine tuning a Question Answering model using SQuAD and BERT
XQuAD Dataset  Papers With Code
An example from the SQuAD dataset. Evidences needed for the answer
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
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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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