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.
End to End Question-Answering System Using NLP and SQuAD Dataset
How to Answer Questions with Machine Learning
Going Beyond SQuAD (Part 2). SQuAD is all but solved but QA is not
Question Answering for Dravidian Languages — Hindi and Tamil
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Machine Learning Datasets
The Quick Guide to SQuAD. All the basic information you need to
🤗 Datasets: A community library for natural language processing
How to Answer Questions with Machine Learning
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