~/talk

Is this Real?: Generating Synthetic Data that Looks Real

Talkat UIST 2019 · 2019-10-20..10-23· [machine-learning, data-visualization]
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Synner is a web tool that lets users visually and declaratively specify each column’s distribution, domain, and interfield relationship (sketch a trend, add Gaussian noise, enumerate values) and gives instant previews plus suggested specs inferred from a few examples. It visualizes multiple possible samples to show randomness. In user studies it produces more realistic datasets faster than Mockaroo and hand-written scripts, and realism is evaluated with a Turing-style test of human-derived rules.

AI-written summary · about

  1. 0:00Start
  2. 2:49Synthetic Data Generation
  3. 3:43Demo
  4. 8:56Design Principles
  5. 17:12Turing Test
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