Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean
This provides a new resource for NLP researchers working with Portuguese or bilingual applications, though it is incremental as it extends existing dataset creation methods to a new language pair.
The authors tackled the lack of bilingual Portuguese-English datasets in NLP by creating the Pirá dataset, which consists of 2,261 manually curated question-answer sets about the ocean and Brazilian coast, supporting tasks like question-answering and machine translation.
Current research in natural language processing is highly dependent on carefully produced corpora. Most existing resources focus on English; some resources focus on languages such as Chinese and French; few resources deal with more than one language. This paper presents the Pirá dataset, a large set of questions and answers about the ocean and the Brazilian coast both in Portuguese and English. Pirá is, to the best of our knowledge, the first QA dataset with supporting texts in Portuguese, and, perhaps more importantly, the first bilingual QA dataset that includes this language. The Pirá dataset consists of 2261 properly curated question/answer (QA) sets in both languages. The QA sets were manually created based on two corpora: abstracts related to the Brazilian coast and excerpts of United Nation reports about the ocean. The QA sets were validated in a peer-review process with the dataset contributors. We discuss some of the advantages as well as limitations of Pirá, as this new resource can support a set of tasks in NLP such as question-answering, information retrieval, and machine translation.