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README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-classification
+language:
+- ha
+tags:
+- hatespeech
+- hausalanguage
+- africanlanguages
+- NLP
+- LLMs
+- ML
+pretty_name: HausaHate
+---
+
+
+
+# Evaluation Benchmark for Hausa Hate Speech Detection
+
+We introduce the first expert annotated corpus of Facebook comments for Hausa hate speech detection. 
+The corpus titled HausaHate comprises <b>2,000 comments</b> extracted from Western African Facebook pages and
+manually annotated by three Hausa native speakers, who are also NLP experts. 
+The corpus was annotated using two different layers. We first labeled each comment according to a 
+binary classification: <b>offensive versus non-offensive</b>. Then, offensive comments were also labeled 
+according to hate speech targets: <b>race, gender and none</b>. 
+
+
+# Paper
+
+<b>HausaHate: An Expert Annotated Corpus for Hausa Hate Speech Detection</b> <br>
+Francielle Vargas, Samuel Guimarães, Shamsuddeen H. Muhammad, Diego Alves, Ibrahim Said Ahmad, Idris Abdulmumin, Diallo Mohamed, Thiago Pardo, Fabrício Benevenuto <br>
+<i>8th Workshop on Online Abuse and Harms (WOAH @ NAACL 2024)</i> <br>
+Mexico City, Mexico. https://aclanthology.org/2024.woah-1.5/