HASOC (2024)

Hate Speech and Offensive Content Identification in English and Bangla

Call for Participation

Task 1: Binary Classification in English.

A task focused on hate speech and offensive language identification is offered for Hinglish. It is a coarse-grained binary classification in which participants are required to classify tweets into two classes, namely: hate and offensive (HOF) and non- hate and offensive (NOT).

(NOT) Non Hate-Offensive - This post does not contain any Hate speech, profane, offensive content. (HOF) Hate and Offensive - This post contains Hate, offensive, and profane content.

(HOF) Hate and Offensive - This post contains Hate, offensive, and profane content.

Dataset

Note: Datasets are password protected, please register to get access to passwords, once register you'll receive passwords from noreply.hasoc@gmail.com, in case if you have not received passwords after registration please check your spam, please reachout to us via hasocfire@googlegroups.com in case if any queries

Task

Training Data

Test Data

Task 1: Identifying Hate, offensive and profane content in English

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The training dataset for the English task 1 is sampled. The screenshot below shows some examples.

screenshot

Results

Task 1 English

Best Run Submitted Per Team Per Task

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All Runs Submitted Per Task

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Important Dates

Timeline:

All subtracks have an independent timeline for training/test data release and run submission which will be available on respective websites. Here are the common timelines:

20th june

Training data release

August

Results announcement

September

Working notes and overview papers due

December

FIRE conference takes place online

NOTE: All dates are in AoE timezone

Organisers

  • Thomas Mandl :- University of Hildesheim, Germany
  • Sandip Modha :- University of Milano-Bicocca, Italy & LDRP-ITR, Gandhinagar, India
  • Shrey Satapara :- IIT Hyderabad, Hyderabad , India
  • Hiren Madhu :- Yale University, USA
  • Prasenjit majumder :- DA-IICT, Gandhinagar, India
  • Tanishka Gaur:- LDRP-ITR, Gandhinagar, India
  • Yaashu Dave :- LDRP-ITR, Gandhinagar, India
  • Dhvanit Shah :- PDEU Gandhinagar, India

Acknowledgement

We would like to thank the AI Journal - Funding Opportunities for Promoting AI Research for supporting HASOC Task 1

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