INQUIRE-Rerank / README.md
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---
license: cc-by-nc-4.0
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: image
dtype: image
- name: query
dtype: string
- name: relevant
dtype: int64
- name: clip_score
dtype: float64
- name: inat24_image_id
dtype: int64
- name: inat24_file_name
dtype: string
- name: supercategory
dtype: string
- name: category
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- name: iconic_group
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- name: inat24_species_id
dtype: int64
- name: inat24_species_name
dtype: string
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: location_uncertainty
dtype: float64
- name: date
dtype: string
- name: license
dtype: string
- name: rights_holder
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splits:
- name: validation
num_bytes: 293789663.0
num_examples: 4000
- name: test
num_bytes: 1694429058.0
num_examples: 16000
download_size: 1879381267
dataset_size: 1988218721.0
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# INQUIRE-Rerank
**Please note that this is dataset is preliminary, and will be updated soon.**
<!-- ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/630b1e44cd26ad7f60d490e2/dQBEuQJz46CN5yM7Hz_pq.jpeg) -->
<!-- <img src="https://cdn-uploads.huggingface.co/production/uploads/630b1e44cd26ad7f60d490e2/CIFPqSwwkSSZo0zMoQOCr.jpeg" style="width:100%;max-width:1000px"/> -->
<!-- **INQUIRE: A Natural World Text-to-Image Retrieval Benchmark** -->
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)