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srpone/hm-eval

H&M Fashion Evaluation Dataset H&M-eval is an evaluation benchmark for fashion image-text retrieval built from the public H&M Personalized Fashion Recommendations catalog. It follows the same BEIR-style structure as ZooClaw-Fashion so models can be evaluated on both benchmarks with the same code path. Released as part of the data-agent benchmarks served via zoodata.ai and used by agents on the ZooClaw platform. Released alongside ZooClaw-FashionSigLIP2 to test… See the full description on the dataset page: https://huggingface.co/datasets/srpone/hm-eval.

Author / organizationsrpone
License (as declared)cc-by-nc-4.0
Downloads722 (as reported by Hugging Face)
Likes0
Created24 June 2026
Last updated at source28 September 2026
fashionretrievalecommerceevaluationbenchmarktext-to-imageimage-to-texttext-to-texthm
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