---
license: mit
task_categories:
- text-classification
language: en
pretty_name: OpenAI Moderation API Validation Dataset
---

# Evaluation dataset for the paper "A Holistic Approach to Undesired Content Detection"

The evaluation dataset `data/samples-1680.jsonl.gz` is the test set used in [this paper](https://arxiv.org/abs/2208.03274).

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. |


Parsed from the GitHub repo: https://github.com/openai/moderation-api-release