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.

PDF] CodeQA: A Question Answering Dataset for Source Code

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An example from the SQuAD dataset. Evidences needed for the answer

Papers with code or without code? Impact of GitHub repository

P] Browse State-of-the-Art Papers with Code : r/MachineLearning

GitHub - pallavrajsahoo/Question-Answering-System-with-SQuAD

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