Datasets:
metadata
license: cc-by-4.0
task_categories:
- text-classification
language:
- de
pretty_name: GAHD
configs:
- config_name: default
data_files:
- split: train
path: data/gahd.csv
- config_name: gahd_disaggregated
data_files:
- split: train
path: data/gahd_disaggregated.csv
NOTE README copied from https://github.com/jagol/gahd
This repository contains the dataset from our NAACL 2024 paper "Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset".
gahd.csv
contains the following columns:
gahd_id
: unique identifier of the entrytext
: text of the entrylabel
:0
= "not-hate speech",1
= "hate speech"round
: round in which the entry was createdsplit
: "train", "dev", or "test"contrastive_gahd_id
:gahd_id
of its contrastive example
gahd_disaggregated.csv
contains the following additional columns:
source
:- if annotators entered the entry via the Dynabench interface:
dynabench
- if the entry was translated from the Vidgen et al. 2021 dataset:
translation
- if the entry stems from the Leipzit news corpus:
news
- if annotators entered the entry via the Dynabench interface:
model_prediction
: label predicted by the target model,0
or1
annotator_id
: unique identifier of the annotator that created the entryannotator_labels
: a string containing a forward slash-separated list of all labels by annotatorsexpert_labels
:0
or1
if an expert annotator annotated the entry, otherwise empty
When using GAHD, please cite our preprint on Arxiv:
@misc{goldzycher2024improving,
title={Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset},
author={Janis Goldzycher and Paul Röttger and Gerold Schneider},
year={2024},
eprint={2403.19559},
archivePrefix={arXiv},
primaryClass={cs.CL}
}