Update README.md

README.md

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 ![teaser.png](teaser.png)
 # OpenStreetView-5M <br><sub>The Many Roads to Global Visual Geolocation 📍🌍</sub>
 
-OpenStreetView-5M is hosted at [huggingface/datasets/osv5m/osv5m](https://huggingface.co/datasets/osv5m/osv5m)
 Demo for [OpenStreetView-5M: The Many Roads to Global Visual Geolocation](https://imagine.enpc.fr/~guillaume-astruc/osv-5m).  
+[OpenStreetView-5M](https://huggingface.co/datasets/osv5m/osv5m) is the first large-scale open geolocation benchmark of streetview images.  
 
 **First authors:** [Guillaume Astruc](https://gastruc.github.io/), [Nicolas Dufour](https://nicolas-dufour.github.io/), [Ioannis Siglidis](https://imagine.enpc.fr/~siglidii/)  
 **Second authors:** [Constantin Aronssohn](), Nacim Bouia, [Stephanie Fu](https://stephanie-fu.github.io/), [Romain Loiseau](https://romainloiseau.fr/), [Van Nguyen Nguyen](https://nv-nguyen.github.io/), [Charles Raude](https://imagine.enpc.fr/~raudec/), [Elliot Vincent](https://imagine.enpc.fr/~vincente/), Lintao XU, Hongyu Zhou  
 **Last author:** [Loic Landrieu](https://loiclandrieu.com/)  
 **Research Institute:** [Imagine](https://imagine.enpc.fr/), _LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Vallée, France_  
 
-OpenStreetView-5M is the first large-scale open geolocation benchmark of streetview images.  
-To get a sense of the difficulty of the benchmark, you can play our [demo](https://huggingface.co/spaces/osv5m/plonk).  
-Our dataset was used in an extensive benchmark of which we provide the best model.  
 For more details and results, please check out our [paper](arxiv) and [project page](https://imagine.enpc.fr/~guillaume-astruc/osv-5m).  
 
 ### Citing 💫
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     year = {2024},
   }
 ```
+
+### Acknowledgements
+OSV-5M was made possible through the generous support of the Mapillary team, which helped us navigate their vast street view image database. Our work was supported by the ANR project READY3D ANR-19-CE23-0007, and the HPC resources of IDRIS under the allocation AD011014719 made by GENCI.
+We thank Valérie Gouet for her valuable feedback; Ségolène Albouy for helping us make gradio-folium clickable.