metadata

language:
  - amh
pretty_name: Amharic Hate Speech Dataset
tags:
  - am
task_categories:
  - text-classification

Introduction

The Amharic Hate Speech data is collected using the Twitter API spanning from October 1, 2020 - November 30, 2022, considering the socio-political dynamics of Ethiopia in Twitter space. We used WEbAnno tool for data annotation; each tweet is annotated by two native speakers and curated by one more experienced adjudicator to determine the gold labels. A total of 15.1k tweets consisting of three class labels namely: Hate, Offensive and Normal are presented. Read our papers for more details about the dataset (see below).

Amharic Hate Speech Data Annotation: Lab-Controlled Annotation

The dataset is annotated by two annotators and a curator to determine the gold labels.

For more details, You can read our paper entitled:

Exploring Amharic Hate Speech data Collection and Classification Approaches