Mercity AI
Official@Mercity-AI
Mercity AI provides Simula, a synthetic dataset generation skill that builds training data such as QA pairs and extraction datasets from guided defaults.
Agent Skills by Mercity AI
Showing 1 vetted skills indexed across 1 GitHub repositories.
Frequently Asked Questions About Mercity AI
FAQPage SchemaWhat tasks can I accomplish with Mercity AI's Simula skill?▼
Simula generates synthetic datasets on request, such as extraction datasets or around 5,000 QA pairs for model training. You specify what dataset you want and how much data; the skill decides remaining parameters from baked-in defaults and surfaces only high-leverage choices.
Who is the Simula dataset generation skill designed for?▼
It targets machine learning engineers and data practitioners who need training data quickly without hand-crafting examples. Users who want to say 'make me an extraction dataset' or 'generate ~5k QA pairs' and get guided, defaults-driven dataset creation benefit most.
How does the Simula dataset generation process work in practice?▼
You invoke the skill with a natural-language request describing the dataset and desired size. Simula then walks you through only the essential decisions, applying baked-in defaults for everything else, and produces the synthetic dataset from the Simula repository.
What inputs or prerequisites does Simula require to generate a dataset?▼
The only required inputs are what dataset you want and how much data you need, expressed in plain language. All other configuration comes from the skill's baked-in defaults, with only a few high-leverage choices surfaced to you during generation.