Update README.md

README.md

@@ -33,77 +33,50 @@ Portuguese
 
 ### Data Instances
 
-[More Information Needed]
+```
+{'instagram_comments': 'Plano da esquerda foi é e será sempre críticar não nunca teve um plano de governo único plano era como roubar .',
+ 'offensive_language': 1,
+ 'offensiveness_levels': 2,
+ 'antisemitism': False,
+ 'apology_for_the_dictatorship': False,
+ 'fatphobia': False,
+ 'homophobia': False,
+ 'partyism': True,
+ 'racism': False,
+ 'religious_intolerance': False,
+ 'sexism': False,
+ 'xenophobia': False,
+ 'offensive_&_non-hate_speech': False,
+ 'non-offensive': False
+}
+```
 
 ### Data Fields
 
 * instagram_comments: Instagram comments.
-* offensive_language: Offensive language classification divided into offensive comments versus non-offensive comments.
-* offensiveness_levels: Offensiveness-level classification divided into highly offensive, moderately offensive, and slightly offensive.
-* hate_speech: Hate speech classification divided into nine different hate groups: antisemitism, apology for the dictatorship, fatphobia, homophobia, partyism, racism, religious intolerance, sexism, and xenophobia. At last, offensive & no hate speech comments also was classified.
-
+* offensive_language: A classification of comments as either offensive (1) or non-offensive (0).
+* offensiveness_levels: A classification of comments based on their level of offensiveness, including highly offensive (3), moderately offensive (2), slightly offensive (1) and non-offensive (0).
+* antisemitism: A classification of whether or not the comment contains antisemitic language.
+* apology_for_the_dictatorship: A classification of whether or not the comment praises the military dictatorship period in Brazil.
+* fatphobia: A classification of whether or not the comment contains language that promotes fatphobia.
+* homophobia: A classification of whether or not the comment contains language that promotes homophobia.
+* partyism: A classification of whether or not the comment contains language that promotes partyism.
+* racism: A classification of whether or not the comment contains racist language.
+* religious_intolerance: A classification of whether or not the comment contains language that promotes religious intolerance.
+* sexism: A classification of whether or not the comment contains sexist language.
+* xenophobia: A classification of whether or not the comment contains language that promotes xenophobia.
+* offensive_&_no-hate_speech: A classification of whether or not the comment is offensive but does not contain hate speech.
+  
 ### Data Splits
 
-No standard splits have been provided by the authors.
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
+No standard data splits have been provided by the authors.
 
 ### Citation Information
 
-[More Information Needed]
-
-### Contributions
-
-[More Information Needed]
+@inproceedings{vargas2022hatebr,
+  title={HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection},
+  author={Vargas, Francielle and Carvalho, Isabelle and de G{\'o}es, Fabiana Rodrigues and Pardo, Thiago and Benevenuto, Fabr{\'\i}cio},
+  booktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference},
+  pages={7174--7183},
+  year={2022}
+}