Omkar2118/datasets huggingface dataset:
SIGARRA News Corpus

This dataset was taken from the SIGARRA information system at the University of Porto (UP). Every organic unit has its own domain and produces academic news. We collected a sample of 1000 news, manually annotating 905 using the Brat rapid annotation tool. This dataset consists of three files. The first is a CSV file containing news published between 2016-12-14 and 2017-03-01. The second file is a ZIP archive containing one directory per organic unit, with a text file and an annotations file per news article. The third file is an XML containing the complete set of news in a similar format to the HAREM dataset format. This dataset is particularly adequate for training named entity recognition models.
PropBank-PT

The PropBankPT (Branco et al., 2012) is a set of sentences annotated with their constituency structure and semantic role tags, composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal translated.
For the creation of this PropBank we adopted a semi-automatic analysis with a double-blind annotation followed by adjudication. The resulting dataset contains three information levels: phrase constituency, grammatical functions, and phrase semantic roles.
The main motivation behind the creation of this resource was to build a high quality data set with semantic information that could support the development of automatic semantic role labelers for Portuguese.
The development of this resource started under the METANET4U project (at: http://metanet4u.eu/) whose main goal is to contribute to the establishment of a pan-European digital platform that makes available language resources and services, encompassing both datasets and software tools, for speech and language processing, and supports a new generation of exchange facilities for them.
You may also be interested in the related resources DeepBankPT, TreeBankPT, DependencyBankPT and LogicalFormBankPT, also available from this repository.