Paper Info
Title
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean
Abstract
ABSTRACTCurrent 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.
Year
DOI
Venue
2021
10.1145/3459637.3482012
Conference on Information and Knowledge Management
DocType
ISSN
Citations 
Conference
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021
0
PageRank 
References 
Authors
0.34
0
11
Name
Order
Citations
PageRank
André F. A. Paschoal100.34
Paulo Pirozelli200.34
Valdinei Freire da Silva3256.86
Karina Valdivia Delgado45311.93
Sarajane M. Peres500.34
Marcos Menon José600.34
Flávio Nakasato Cação700.34
André Seidel Oliveira800.34
Anarosa A. F. Brandão900.34
Anna Helena Reali Costa1019231.97
Fabio G. Cozman111200172.21