annotations_creators	expert-generated
language_creators	machine-generated
languages	en-US
licenses
multilinguality	monolingual
pretty_name	ToxiGen
size_categories	100K<n<1M
source_datasets	original
task_categories	text-classification
task_ids	hate-speech-detection

Dataset Card for ToxiGen

Dataset Description

• Repository: https://github.com/microsoft/toxigen
• Paper: https://arxiv.org/abs/2203.09509

Dataset Structure

Data Fields

We release TOXIGEN as a dataframe with the following fields:

• prompt is the prompt used for generation.
• generation is the TOXIGEN generated text.
• generation_method denotes whether or not ALICE was used to generate the corresponding generation. If this value is ALICE, then ALICE was used, if it is TopK, then ALICE was not used.
• prompt_label is the binary value indicating whether or not the prompt is toxic (1 is toxic, 0 is benign).
• group indicates the target group of the prompt.
• roberta_prediction is the probability predicted by our corresponding RoBERTa model for each instance.