Donatello AI Benchmark / Protocol & evidence

Download the evidence. Keep the caveats.

Versioned input protocols and source-backed planning records in JSON and CSV. No download in this release contains measured generation results or human votes.

Published Version 2026-09-11-v1Operated by Donatello

Initial release: protocols and documentation estimates only. No comparative generation results, public votes or quality winners have been published.

Public datasets · 2026-09-11-v1

JSON preserves settings, source snapshots and nested caveats. CSV preserves the record fields; empty cells mean unknown, not zero. Nested lists are JSON-encoded within CSV cells. Dates are ISO dates, cash values are USD before tax, and durations are seconds. Benchmark records contain no customer data.

protocol · 30 records

Image prompt set

Thirty input prompts and acceptance checks. Not generation results.

JSONSHA-256: bab520af668ec4710fdf36d2a8beaf2036a53e000431e4542960862ddd53cb28
CSVSHA-256: 1629a187c83958daa47de9fe7aeef15956e8887e4f74b4ce9d1f8f691a88a6b7

protocol · 8 records

Image-reference protocol

Eight planned cases with reference readiness and the public input manifest. No generated test outputs.

JSONSHA-256: 07026d146865e8484eea960470b260b80b95e526015625c6ece9f218064a8044
CSVSHA-256: 4bd555a215183d5227be2af51df704a480ea78ed6cd774a58fb2e2cc72b271b3

documentation-estimate · 60 records

Creator Value documentation simulation

Sixty product/budget/brief combinations, with unknown full costs and completion explicitly retained.

JSONSHA-256: 102108c8bb655eab21901fa425909047a9deb349283df8a06d921da432ddda02
CSVSHA-256: 34e0e1ed97103993faf2be04a6a1aa85c45b2503ebe093c7abe5a95d4d022278

How to cite this release

Donatello.studio. Donatello AI Benchmark: protocol and documentation release. Version 2026-09-11-v1, published 2026-09-11. Cite the relevant dataset's URL and checksum, and identify it as a protocol or estimate—not an experiment proving a model's quality.

The prompt corpus and factual records are publicly accessible. Input media, future generated media and provider documentation retain their applicable rights; this page does not grant a blanket media or training licence. See Terms.

What is intentionally absent?

No image-quality score, human-preference percentage, cost-per-usable result or generation-latency table exists yet. Those datasets require actual attempts, complete accounting and independent evaluation. Publication dates on input files are not test-execution dates.