Flawnter AI dataset quality testing ensures high-quality and ethical AI training data by scanning for issues such as offensive language, NSFW content, stereotypes, and biases. By identifying problematic data before it reaches AI models, the software helps improve fairness, reduce harmful outputs, and enhance overall model performance. It provides a critical layer of security and quality control, ensuring that AI systems are trained on clean, reliable, and unbiased datasets. This feature is rule based. You need to define keywords or phrases in the JSON file. Flawnter supports scanning datasets in formats .json, .jsonl, .txt, .csv, .xml, .yml, .yaml files. For Apache Parquet (.parquet) file support please download Parquet Data Analyzer extension from https://www.flawnter.com/download-extensions.

For sample AI dataset rules JSON file please download from https://www.flawnter.com/download/samples/dataset-rules.json.