OffensEval 2019

This is the website for OffensEval 2019: OffensEval: Identifying and Categorizing Offensive Language in Social Media (SemEval 2019 - Task 6). 

The competition is now finished. For more information, please consult the OffensEval 2019 report. When referring to the competition, please use the bib entry below:

  title={SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)},
  author={Zampieri, Marcos and Malmasi, Shervin and Nakov, Preslav and Rosenthal, Sara and Farra, Noura and Kumar, Ritesh},
  booktitle={Proceedings of the 13th International Workshop on Semantic Evaluation},

Task Description

In OffensEval 2019 we break down offensive content into the following three sub-tasks taking the type and target of offenses into account. 
  • Sub-task A - Offensive language identification;
  • Sub-task B - Automatic categorization of offense types;
  • Sub-task C - Offense target identification.


The dataset used in OffensEval 2019 is the Offensive Language Identification dataset (OLID). OLID contains 14,200 English tweets annotated using a hierarchical three-level annotation model.

For more information, please check the dataset paper. To download the dataset please visit OLID's page.

  •     28 Nov 2018: Training Data Release
  •     15 Jan 2019: Sub-task A test data release
  •     17 Jan 2019: Submission sub-task A
  •     22 Jan 2019: Sub-task B test data release
  •     24 Jan 2019: Submission sub-task B
  •     29 Jan 2019: Sub-task C test data release
  •     31 Jan 2019: Submission sub-task C 
  •     5 Feb 2019: Results announced
  •     10 Mar 2019: System and task description paper submissions due
  •     10 Apr 2019: Author notifications
  •     20 Apr 2019: Camera ready submissions due

  • Marcos Zampieri (University of Wolverhampton, UK)
  • Shervin Malmasi (Harvard Medical School, USA)
  • Preslav Nakov (Qatar Computing Research Insitute, Qatar)
  • Sara Rosenthal (IBM Research, USA)
  • Noura Farra (Columbia University, USA)
  • Ritesh Kumar (Bhim Rao Ambedkar University, India)