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--- |
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license: cc-by-nc-4.0 |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: query |
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dtype: string |
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- name: relevant |
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dtype: int64 |
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- name: clip_score |
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dtype: float64 |
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- name: inat24_image_id |
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dtype: int64 |
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- name: inat24_file_name |
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dtype: string |
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- name: supercategory |
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dtype: string |
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- name: category |
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dtype: string |
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- name: iconic_group |
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dtype: string |
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- name: inat24_category_id |
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dtype: int64 |
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|
- name: inat24_category_name |
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dtype: string |
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|
- name: latitude |
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dtype: float64 |
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- name: longitude |
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dtype: float64 |
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- name: location_uncertainty |
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dtype: float64 |
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- name: date |
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dtype: string |
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|
- name: license |
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dtype: string |
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|
- name: rights_holder |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1821853979.0 |
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num_examples: 16100 |
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download_size: 22078996 |
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dataset_size: 1821853979.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# INQUIRE-Rerank |
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<!--  --> |
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<!--  --> |
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**INQUIRE** is a text-to-image retrieval benchmark designed to challenge multimodal models with expert-level queries about the natural world. |
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The **INQUIRE-Rerank** task fixes an initial ranking of 100 images per query using CLIP ViT-H-14 zero-shot retrieval on the entire 5 million image iNat24 dataset. |
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This makes reranking evaluation consistent, and saves time from running the initial retrieval yourself. If you're interested in full-dataset retrieval, |
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check out **INQUIRE-Fullrank**. |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/630b1e44cd26ad7f60d490e2/CIFPqSwwkSSZo0zMoQOCr.jpeg" style="width:100%;max-width:1000px"/> |
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