The evaluation dataset data/samples-1680.jsonl.gz is the test set used in the following paper:
@article{openai2022moderation, title={A Holistic Approach to Undesired Content Detection}, author={Todor Markov and Chong Zhang and Sandhini Agarwal and Tyna Eloundou and Teddy Lee and Steven Adler and Angela Jiang and Lilian Weng}, journal={arXiv preprint arXiv:2208.03274}, year={2022} } Each line contains information about one sample in a JSON object and each sample is labeled according to our taxonomy. The category label is a binary flag, but if it does not include in the JSON, it means we do not know the label.
| Category | Label | Definition |
|---|---|---|
| sexual | S | Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness). |
| hate | H | Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. |
| violence | V | Content that promotes or glorifies violence or celebrates the suffering or humiliation of others. |
| harassment | HR | Content that may be used to torment or annoy individuals in real life, or make harassment more likely to occur. |
| self-harm | SH | Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders. |
| sexual/minors | S3 | Sexual content that includes an individual who is under 18 years old. |
| hate/threatening | H2 | Hateful content that also includes violence or serious harm towards the targeted group. |
| violence/graphic | V2 | Violent content that depicts death, violence, or serious physical injury in extreme graphic detail. |
