AlpachinoNLP/GlazyBench

GLAZE Benchmark for Hugging Face This folder is a publication-ready export of the benchmark assets that are currently treated as canonical in this repository. It is organized into two benchmark tracks: property_prediction/: fixed train/test split for glaze property prediction. image_generation/: fixed train/test split for glaze image generation with paired metadata and conditioning signals. It also contains an optional source-information layer for users who want to extract… See the full description on the dataset page: https://huggingface.co/datasets/AlpachinoNLP/GlazyBench.

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