OneIG-Bench — Chinese track (commonly referenced as OneIG-ZH or OneIG-Bench-ZH) is the Chinese subset of OneIG-Bench, an omni-dimensional benchmark for evaluating text-to-image (T2I) models. OneIG-Bench was designed to provide fine-grained evaluation across multiple dimensions including subject-element alignment, text rendering precision, reasoning, stylization, and diversity. The Chinese track uses Chinese prompts (same benchmark design as the English track / OneIG-EN) and reports per-dimension scores as well as an overall score to assess T2I model performance on Chinese-language prompts (the Hugging Face dataset lists the OneIG-Bench-ZH subset at ~1.32k rows). License: CC BY-NC 4.0. Sources: OneIG-Bench paper and Hugging Face dataset page.
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