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  size_categories:
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  ---
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- # Dataset Card for CrisisLandMark
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- <!-- Provide a quick summary of the dataset. -->
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-
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- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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  ## Dataset Details
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  - **Curated by:** Daniele Rege Cambrin
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  - **License:** Creative Commons Attribution Non Commercial 4.0
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- - **Repository:** [More Information Needed]
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- - **Paper:** [More Information Needed]
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  ## Dataset Structure
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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  ```bibtex
 
 
 
 
 
 
 
 
 
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  ```
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  ## Licensing
 
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+ # CrisisLandMark
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+ CrisisLandMark is a large-scale corpus composed of Sentinel-1 and Sentinel-2 data enriched with textual and geospatial annotations
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+ designed for LULC and crisis management applications. The primary purpose is to help design text-to-image retrieval pipelines.
 
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  ## Dataset Details
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  - **Curated by:** Daniele Rege Cambrin
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  - **License:** Creative Commons Attribution Non Commercial 4.0
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+ - **Repository:** [GitHub](https://github.com/DarthReca/closp)
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+ - **Paper:** [Arxiv](https://arxiv.org/abs/2507.10403)
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  ## Dataset Structure
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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  ```bibtex
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+ @misc{cambrin2025texttoremotesensingimageretrievalrgbsources,
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+ title={Text-to-Remote-Sensing-Image Retrieval beyond RGB Sources},
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+ author={Daniele Rege Cambrin and Lorenzo Vaiani and Giuseppe Gallipoli and Luca Cagliero and Paolo Garza},
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+ year={2025},
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+ eprint={2507.10403},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2507.10403},
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+ }
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  ```
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  ## Licensing