Omkar2118/datasets huggingface dataset:
MINTAKA

**MINTAKA** is a complex, natural, and multilingual dataset designed for experimenting with end-to-end question-answering models. It is composed of 20,000 question-answer pairs collected in English, annotated with Wikidata entities, and translated into Arabic, French, German, Hindi, Italian, Japanese, Portuguese, and Spanish for a total of 180,000 samples. Mintaka includes 8 types of complex questions, including superlative, intersection, and multi-hop questions, which were naturally elicited from crowd workers.

Source: [Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering](https://paperswithcode.com/paper/mintaka-a-complex-natural-and-multilingual)

Image Source: [https://arxiv.org/pdf/2210.01613v1.pdf](https://arxiv.org/pdf/2210.01613v1.pdf)

Introducing paper: Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering