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RecognaSumm Dataset

Introduction

RecognaSumm is a novel and comprehensive database specifically designed for the task of automatic text summarization in Portuguese. RecognaSumm stands out due to its diverse origin, composed of news collected from a variety of information sources, including agencies and online news portals. The database was constructed using web scraping techniques and careful curation, re sulting in a rich and representative collection of documents covering various topics and journalis tic styles. The creation of RecognaSumm aims to fill a significant void in Portuguese language summarization research, providing a training and evaluation foundation that can be used for the development and enhancement of automated summarization models.

News Categories

Category # of news
Brazil 14,131
Economy 12,613
Entertainment 5,337
Health 24,921
Policy 29,909
Science and Technology 15,135
Sports 2,915
Travel and Gastronomy 2,893
World 27,418
Total 135,272

PTT5-Summ Model

We also trained the PTT5 model on this dataset and made it available on HuggingFace. Click here to access.

Citation

RecognaSumm: A Novel Brazilian Summarization Dataset (PROPOR 2024)

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Models trained or fine-tuned on recogna-nlp/recognasumm