A bit more context on what this is: Abliteration now has a training-data generation workflow. You describe the examples you want, and it generates a dataset for that use case.
If the examples need current or real-world facts, there is an optional web search mode. When the dataset is ready, you can export it to Hugging Face, Kaggle, S3, or OpenAI.
The initial use cases are classifier and eval datasets, especially trust and safety cases like grooming or harassment detection, plus datasets for security research and model evals.
A bit more context on what this is: Abliteration now has a training-data generation workflow. You describe the examples you want, and it generates a dataset for that use case.
If the examples need current or real-world facts, there is an optional web search mode. When the dataset is ready, you can export it to Hugging Face, Kaggle, S3, or OpenAI.
The initial use cases are classifier and eval datasets, especially trust and safety cases like grooming or harassment detection, plus datasets for security research and model evals.