region:us
ETHOS: onlinE haTe speecH detectiOn dataSet. This repository contains a dataset for hate speech
detection on social media platforms, called Ethos. There are two variations of the dataset:

Ethos_Dataset_Binary: contains 998 comments in the dataset alongside with a label
about hate speech presence or absence. 565 of them do not contain hate speech,
while the rest of them, 433, contain.

Ethos_Dataset_Multi_Label: which contains 8 labels for the 433 comments with hate speech content.
These labels are violence (if it incites (1) or not (0) violence), directed_vs_general (if it is
directed to a person (1) or a group (0)), and 6 labels about the category of hate speech like,
gender, race, national_origin, disability, religion and sexual_orientation.
@misc{mollas2020ethos,
      title={ETHOS: an Online Hate Speech Detection Dataset},
      author={Ioannis Mollas and Zoe Chrysopoulou and Stamatis Karlos and Grigorios Tsoumakas},
      year={2020},
      eprint={2006.08328},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
# Ethos

This dataset is a clone of the official [`ethos` dataset](https://huggingface.co/datasets/ethos) on the Hub. It contains both `binary` and `multilabel` subsets.