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.
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The Quick Guide to SQuAD. All the basic information you need to
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UAVVaste Dataset Papers With Code
GitHub - chiahsuan156/Spoken-SQuAD: A spoken question answering
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Papers With Code (Free Resource of Machine Learning Papers and
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Nlakh Dataset Papers With Code
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How to Answer Questions with Machine Learning
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SQuAD Dataset Papers With Code
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bccd TensorFlow Datasets
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Number of questions in the original SQuAD 2.0 dataset and our
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Results reported on TrecQA, WikiQA, and SQUAD-Sent datasets. SQUAD
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SberQuAD Dataset Papers With Code
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PGPS9K Dataset Papers With Code
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rock_paper_scissors TensorFlow Datasets
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Sensitivity to parameter choices on the Kazer et al.⁶ dataset and
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An Introduction to Papers With Code: What It is And How to Use It
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