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

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in

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UQuAD1.0: Development of an Urdu Question Answering Training Data

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Automatic Spanish Translation of SQuAD Dataset for Multi-lingual

SberQuAD Dataset Papers With Code

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