Omkar2118/datasets huggingface dataset:
XQuAD
Full name: XQuAD

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.

Source: [XQuAD](https://github.com/deepmind/xquad)
Image Source: [https://arxiv.org/pdf/1910.11856v3.pdf](https://arxiv.org/pdf/1910.11856v3.pdf)

Introducing paper: On the Cross-lingual Transferability of Monolingual Representations