RANLP datasets

README.md

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+ [![](../../logo.png)](https://github.com/uhh-lt/amharicmodels/)
+# 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](http://ltdemos.informatik.uni-hamburg.de/codebookanno-cba/) 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).
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+# Amharic Hate Speech Data Annotation: Lab-Controlled Annotation
+The dataset is annotated by two annotators and a curator to determine the gold labels.  
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+For more details, You can read our paper entitled:
+1. [Exploring Amharic Hate Speech data Collection and Classification Approaches](https://www.inf.uni-hamburg.de/en/inst/ab/lt/publications/2023-ayele-et-al-hate-ranlp.pdf)
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