Update README.md

README.md

@@ -11,84 +11,14 @@ tags:
 - pt
 - fake-br
 ---
-# Fake.Br Corpus
-[![tag](https://i.imgur.com/ZhZ9Mw7.png)](http://nilc.icmc.usp.br/nilc/index.php)
+# Portuguese Fake News Corpus - Fake.br
 
-Hello! Thank you for using our corpus!
+This dataset contains the corpus used to train Portuguese fake-news classifiers using news articles from [Fake.br](https://github.com/roneysco/Fake.br-Corpus).
 
-Here you may find 3 folders, with two of them containing versions of the same corpus:
+## Contents
 
- - ``full_texts`` folder, which contains the full texts, as collected from their websites. Inside this folder, there are 4 more folders:
+- Parquet/CSV splits (train/test/full/aligned) when available
 
-   - ``fake`` folder: it contains the collected fake news;
-   - ``true`` folder: it contains the collected true news;
-   - ``fake-meta-information`` folder: it contains the metadata information of each fake news;
-   - ``true-meta-information`` folder: it contains the metadata information of each true news;
+## Source
 
-   The files in the fake and true metadata information folders follow the following model (line by line):
-
-		author
-		link
-		category
-		date of publication
-		number of tokens
-		number of words without punctuation
-		number of types
-		number of links inside the news
-		number of words in upper case
-		number of verbs
-		number of subjuntive and imperative verbs
-		number of nouns
-		number of adjectives
-		number of adverbs
-		number of modal verbs (mainly auxiliary verbs)
-		number of singular first and second personal pronouns
-		number of plural first personal pronouns
-		number of pronouns
-		pausality
-		number of characters
-		average sentence length
-		average word length
-		percentage of news with speeling errors
-		emotiveness
-		diversity
-
-   To find the aligned true and fake news pairs is very simple, as they are equally numbered/named inside their folders.
-
- - ``size_normalized_texts`` folder, which contains the truncated texts, where, in each fake-true pair, the longer text is truncated (in number of words) to the size of the shorter text. This version of the corpus may be useful for avoiding bias in machine learning experiments.
- 
- - ``preprocessed`` folder, which contains a CSV file containing news label and pre-processed news text, such as removed portuguese stopwords, accent and diacritic (text normalization, contribution by @GuilhermeZaniniMoreira)
-
-Finally, if you use our corpus, please include a citation to our project website and the corresponding paper published in PROPOR 2018 conference:
-
-``Monteiro R.A., Santos R.L.S., Pardo T.A.S., de Almeida T.A., Ruiz E.E.S., Vale O.A. (2018) Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results. In: Villavicencio A. et al. (eds) Computational Processing of the Portuguese Language. PROPOR 2018. Lecture Notes in Computer Science, vol 11122. Springer, Cham``
-
-or our paper published in Expert Systems with Applications:
-
-``Silva, Renato M., Santos R.L.S, Almeida T.A, and Pardo T.A.S. (2020) "Towards Automatically Filtering Fake News in Portuguese." Expert Systems with Applications, vol 146, p. 113199.``
-
-Bibtex:
-
-	@InProceedings{fakebr:18,
-	author={Monteiro, Rafael A. and Santos, Roney L. S. and Pardo, Thiago A. S. and de Almeida, Tiago A. and Ruiz, Evandro E. S. and Vale, Oto A.},
-	title={Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results},
-	booktitle={Computational Processing of the Portuguese Language},
-	year={2018},
-	publisher={Springer International Publishing},
-	pages={324--334},
-	isbn={978-3-319-99722-3},
-	}
-	
-	@article{silva:20,
-	title = "Towards automatically filtering fake news in Portuguese",
-	journal = "Expert Systems with Applications",
-	volume = "146",
-	pages = "113199",
-	year = "2020",
-	issn = "0957-4174",
-	doi = "https://doi.org/10.1016/j.eswa.2020.113199",
-	url = "http://www.sciencedirect.com/science/article/pii/S0957417420300257",
-	author = "Renato M. Silva and Roney L.S. Santos and Tiago A. Almeida and Thiago A.S. Pardo",
-	}
-	
-	
+- Fake.br: https://github.com/roneysco/Fake.br-Corpus