Datasets › HRS-Bench
HRS-Bench (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
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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