--- license: apache-2.0 pretty_name: Cockatoo Moderation V1 size_categories: - 1M Hero

# Cockatoo Moderation V1 This dataset is created by merging ucberkeley-dlab/measuring-hate-speech, KoalaAI/Text-Moderation-Multilingual, and google/civil_comments. Thus, this set is subject to different licenses (see below). Size: 3,399,535 rows ## Files: `Cockatoo-Moderation-V1_corpus.parquet`: The unlabeled dataset `Cockatoo-Moderation-V1_labeled.parquet`: Labeled (coming soon) ## Method: This dataset is primarily synthetically labeled with a small human reviewed subset. More information will be added soon after the labeled set is complete. --- ## Citations: Google/Civil_Comments (cc0-1.0): ``` @article{DBLP:journals/corr/abs-1903-04561, author = {Daniel Borkan and Lucas Dixon and Jeffrey Sorensen and Nithum Thain and Lucy Vasserman}, title = {Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification}, journal = {CoRR}, volume = {abs/1903.04561}, year = {2019}, url = {http://arxiv.org/abs/1903.04561}, archivePrefix = {arXiv}, eprint = {1903.04561}, timestamp = {Sun, 31 Mar 2019 19:01:24 +0200}, biburl = {https://dblp.org/rec/bib/journals/corr/abs-1903-04561}, bibsource = {dblp computer science bibliography, https://dblp.org} } ``` KoalaAI/Text-Moderation-Multilingual (apache-2.0): ``` @misc{text-moderation-large, title={Text-Moderation-Multilingual: A Multilingual Text Moderation Dataset}, author={[KoalaAI]}, year={2025}, note={Aggregated from ifmain's and OpenAI's moderation datasets} } ``` ucberkeley-dlab/measuring-hate-speech (cc-by-4.0): ``` @article{kennedy2020constructing, title={Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application}, author={Kennedy, Chris J and Bacon, Geoff and Sahn, Alexander and von Vacano, Claudia}, journal={arXiv preprint arXiv:2009.10277}, year={2020} } ```