--- license: cc-by-nc-4.0 size_categories: - 10K INQUIRE is a text-to-image retrieval benchmark designed to challenge multimodal models with expert-level queries about the natural world. This dataset aims to emulate real world image retrieval and analysis problems faced by scientists working with large-scale image collections. Therefore, we hope that INQUIRE will both encourage and track advancements in the real scientific utility of AI systems. ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/630b1e44cd26ad7f60d490e2/CIFPqSwwkSSZo0zMoQOCr.jpeg) **Dataset Details** The **INQUIRE-Rerank** task fixes an initial ranking of 100 images per query, obtained using CLIP ViT-H-14 zero-shot retrieval on the entire 5 million image iNat24 dataset. This fixed starting point makes reranking evaluation consistent, and saves time from running the initial retrieval yourself. If you're interested in full-dataset retrieval, check out **INQUIRE-Fullrank**. **Dataset Sources** - Website: [https://inquire-benchmark.github.io/](https://inquire-benchmark.github.io/) - Repository: [https://github.com/inquire-benchmark/INQUIRE](https://github.com/inquire-benchmark/INQUIRE)