AmazonScience/mintaka
Mintaka is a complex, natural, and multilingual dataset designed for experimenting with end-to-end question-answering models. Mintaka 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.
| Author / organization | AmazonScience |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 944 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 27 October 2022 |
| Last updated at source | 28 October 2022 |
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