Datasets › HRS-Bench

HRS-Bench (Holistic, Reliable, and Scalable Benchmark)

Introduced by Eslam Mohamed BAKR et al. in HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models11 Apr 2023 archive 2025-07-28

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

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

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 6 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • HRS-Bench

1 variant name, as the archive lists them.

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