Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,45 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
+
task_categories:
|
| 4 |
+
- summarization
|
| 5 |
+
language:
|
| 6 |
+
- pt
|
| 7 |
+
tags:
|
| 8 |
+
- pt
|
| 9 |
+
- pt-br
|
| 10 |
+
- summarization
|
| 11 |
+
- abstractive summarization
|
| 12 |
+
- news
|
| 13 |
+
pretty_name: RecognaSumm
|
| 14 |
+
size_categories:
|
| 15 |
+
- 100K<n<1M
|
| 16 |
---
|
| 17 |
+
|
| 18 |
+
# RecognaSumm Dataset
|
| 19 |
+
|
| 20 |
+
## Introduction
|
| 21 |
+
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.
|
| 22 |
+
|
| 23 |
+
## News Categories
|
| 24 |
+
| Category | # of news|
|
| 25 |
+
| :-: | :-: |
|
| 26 |
+
|Brazil | 14,131 |
|
| 27 |
+
|Economy | 12,613 |
|
| 28 |
+
|Entertainment | 5,337|
|
| 29 |
+
|Health | 24,921|
|
| 30 |
+
|Policy | 29,909 |
|
| 31 |
+
|Science and Technology | 15,135 |
|
| 32 |
+
|Sports | 2,915 |
|
| 33 |
+
|Travel and Gastronomy | 2,893 |
|
| 34 |
+
| World | 27,418 |
|
| 35 |
+
| **Total** | **135,272** |
|
| 36 |
+
|
| 37 |
+
## PTT5-Summ Model
|
| 38 |
+
|
| 39 |
+
We also trained the [PTT5](https://github.com/unicamp-dl/PTT5) model on this dataset and made it available on HuggingFace. [Click here to access](https://huggingface.co/recogna-nlp/ptt5-base-summ).
|
| 40 |
+
|
| 41 |
+
# Citation
|
| 42 |
+
|
| 43 |
+
### RecognaSumm: A Novel Brazilian Summarization Dataset (PROPOR 2024)
|
| 44 |
+
|
| 45 |
+
Comming soon
|