XQuAD Dataset Papers With Code
Por um escritor misterioso
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.
Results reported on TrecQA, WikiQA, and SQUAD-Sent datasets. SQUAD
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XQuAD Benchmark (Cross-Lingual Question Answering)
How to Build an Open-Domain Question Answering System?
UQuAD1.0: Development of an Urdu Question Answering Training Data
End to End Question-Answering System Using NLP and SQuAD Dataset
Multi-domain Multilingual Question Answering
PDF] mMARCO: A Multilingual Version of the MS MARCO Passage
Mapping global dynamics of benchmark creation and saturation in
GitHub - ElizaLo/Question-Answering-based-on-SQuAD: Question
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