Amharic text dataset extracted from memes for hate speech detection or classification: Amharic Language Hate Speech Detection System from Facebook Image Post Using Deep Learning System

the dataset is collected from social media such as facebook and telegram. the dataset is further processed. the collection are D1_org: this dataset is neither stemed nor stopword are remove: D1_sf: in this dataset stopwords are removed but not stemmed and in D3_stemed datset is stemmed and stopwords are removed. stemming is done using hornmorpho developed by Michael Gesser( available at https://github.com/hltdi/HornMorpho) all datasets are normalized and free from noise such as punctuation marks and emojs.本数据集采集自Facebook、Telegram等社交媒体平台。本数据集已完成进一步处理，其包含三个子数据集：D1_org：该数据集未进行词干提取（stemming），也未移除停用词（stopword）；D1_sf：该数据集已移除停用词但未进行词干提取；D3_stemed：该数据集同时完成了词干提取与停用词移除。本次词干提取采用Michael Gesser开发的HornMorpho工具，可从https://github.com/hltdi/HornMorpho获取。所有数据集均已完成归一化处理，且已清除标点符号、表情符号等噪声数据。