This is a data set of Portuguese tweets labeled with the emotion conveyed in the tweet. It was gathered using a methodology similar to the one used for building the Affect in Tweets data set used in the SemEval-2018 Task 1. The data set contains 11219 tweets, each labeled with an emotion (anger,...

CINTIL-Corpus Internacional do Português is a linguistically interpreted corpus of Portuguese. At present it is composed of 1 Million annotated tokens, verified by human expert annotators. The annotation comprises information on part-of-speech, open classes lemma and inflection, multi-word expres...

The CINTIL-PropBank (Branco et al., 2012) is a corpus of sentences annotated with their constituency structure and semantic role tags, composed of 10,039 sentences and 110,166 tokens taken from different sources and domains: news (8,861 sentences; 101,430 tokens), and novels (399 sentences; 3,082...

This is a set of 11.361 biographies of Portuguese people. The compilation of the data involved the biography collection from wikipedia and data conversion. Several filters were applied to remove entries that were mostly empty or non applicable content. Format: JSON (conversion from HTML) ...

A corpus of opinion articles annotated with arguments, following a claim-premise model.

Porttinari-base (Duran et al., 2023) is the journalistic portion of Porttinari (which stands for “PORTuguese Treebank”), which shall be a large multigenre treebank for Portuguese (Pardo et al., 2021), following the "Universal Dependencies" international grammar framework (de Marneffe et al., 2021...

CORAA NURC-SP Minimal Corpus is a manually annotated corpus of Brazilian Portuguese spontaneous speech (São Paulo variety). The corpus is a subset of NURC (‘Cultured Linguistic Urban Norm’) project collection, one of the most influential in Brazilian Linguistics. The corpus was brought to digital...

CIPM is a set of historical, religious, notarial, literary texts in prose and verse, written in medieval portuguese. It has around 3.5 million words.

The Brands.Br corpus was built from a fraction of B2W-Reviews01 corpus. We use a set of 252 samples selected by B2W to be enriched. In Brands.Br corpus we want to solve two main challenges in product reviews corpus. The first: it is very common to find customer reviews referring to distinct thing...

Royal inquiries of 1258 (primarily published in the Portugaliae Monumenta Historica).