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 / organization | srpone |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 722 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 June 2026 |
| Last updated at source | 28 September 2026 |
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