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---
configs:
- config_name: default
data_files:
- split: test
path:
- "Questions.csv"
- "images/*.png"
- "images/*.jpg"
---
# Remote Sensing MMVP
This dataset follows a similar procedure to the original MMVP benchmark on natural images but directed towards the remote sensing domain.
Challenging visual patterns are identified based on CLIP blind pairs, accompanied with the correpsonding questions, options and ground-truth answer.
## Authors:
Abduljaleel Adejumo*, Faegheh Yeganli*, Clifford Broni-Bediako, Aoran Xiao, Naoto Yokoya**, Mennatullah Siam**
- Symbol:* denotes equal contribution
- Symbol:** denotes equally advising
## Acknowledgements:
We acknowledge that images within this dataset are used from the publicly available Geochat dataset:
https://huggingface.co/datasets/MBZUAI/GeoChat_Instruct
# References
```
@article{adejumo2025vision,
title={A Vision Centric Remote Sensing Benchmark},
author={Adejumo, Abduljaleel and Yeganli, Faegheh and Broni-bediako, Clifford and Xiao, Aoran and Yokoya, Naoto and Siam, Mennatullah},
journal={arXiv preprint arXiv:2503.15816},
year={2025}
}
```