Omkar2118/datasets huggingface dataset:
HRS-Bench
Full name: Holistic, Reliable, and Scalable Benchmark

**HRS-Bench** is a concrete evaluation benchmark for T2I models that is Holistic, Reliable, and Scalable. It measures 13 skills that can be categorized into five major categories: accuracy, robustness, generalization, fairness, and bias. In addition, HRS-Bench covers 50 scenarios, including fashion, animals, transportation, food, and clothes.

Source: [HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models](https://arxiv.org/pdf/2304.05390v1.pdf)

Image Source: [HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models](https://arxiv.org/pdf/2304.05390v1.pdf)

Introducing paper: HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models