ethara/mikazuki-samples

Measuring whether an agent can trust its eyes over its database: multimodal, multi-tool reconciliation under adversarial conditions. Summary · Layout · Tiers · Segments · Inventory · Analysis · Coverage · Dataset · Trajectories · Scoring · Adversarial design · Reproduction · Verification Mikazuki: 20-Task Multimodal Evaluation Sample Mikazuki measures real-world assistant competence, not isolated tool calling, retrieval, or vision. It evaluates… See the full description on the dataset page: https://huggingface.co/datasets/ethara/mikazuki-samples.

<iframe src="https://silytics.si/embed/item/7c1dfb6d-83e5-4648-a332-3ada31a76b3c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.