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How to turn a model failure into a reproducible handwriting batch with Veri Ink

Trace a failed case to its seed and generation record, then regenerate a matching batch.

Authorization notice. Veri Ink is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forAn ML engineer whose OCR or multimodal grader just failed on a specific handwriting pattern and needs more data like it.

The problemA failure is hard to reproduce or expand into training data when the generation details were never recorded.

The outcomeA clear view of the seed, labels, bounds, and hash for the failing case, plus a regenerated batch built from the same rules.

What you need first

  • Python and git installed
  • Terminal access to create a virtual environment and run commands
  • Basic familiarity with pip and pytest

Steps

  1. Run git clone https://github.com/znxzsy/VeriInk.git and then cd VeriInk.
  2. Read the architecture and data boundary notes in the docs/ folder.
  3. Open src/veriink/ and locate the deterministic renderer and the validation code.
  4. Run python scripts/generate_demo.py to rebuild the gallery and its manifests.
  5. Open examples/gallery/manifest.json and check the seed, labels, bounds, and SHA256 for the record that matches your failure pattern.

Prompt for your agent

In the VeriInk repo, read docs/ and src/veriink/, then open examples/gallery/manifest.json. For the failure pattern <failure-pattern>, list the matching records with their seed, labels, bounds, and SHA256. Verify that each listed seed, when used for rendering, is covered by the existing validation checks.

Caveat. The README does not document how to write a task specification from a failure, so you will need to read the source to map your own failure into the renderer.

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