Disclosure: I’m on the Abliteration team.
We just shipped a training-data generator for people who need specific examples rather than another generic public dataset.
You describe the examples you want and it generates structured synthetic data. If the dataset needs current or real-world facts, you can turn on web search. Exports are live for Hugging Face, Kaggle, S3, and OpenAI.
The first use cases we built around are classifier and eval datasets for trust and safety: grooming detection, harassment detection, security research evals, jailbreak and edge-case sets, and similar work where teams need examples that general-purpose models often refuse to generate.
I marked this as synthetic and paid because the outputs are generated and this is a commercial tool.
Product: https://abliteration.ai/
Synthetic data page: https://abliteration.ai/use-cases/synthetic-data
Launch video: https://x.com/abliteration_ai/status/2054675554138194178
For people who curate datasets: what export format or per-row provenance metadata do you usually need before a generated dataset is usable?
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