Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+license: openrail
+task_categories:
+- image-segmentation
+tags:
+- climate
+size_categories:
+- n<1K
+---
+
+# Dataset Card for South Africa Crop Type Clouds
+
+<!-- Provide a quick summary of the dataset. -->
+This dataset contains the cloud masks generated and used for the paper [KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation](https://arxiv.org/abs/2408.07040).
+
+- **Curated by:** Daniele Rege Cambrin
+- **License:** OpenRAIL
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+The dataset will provide a quality assessment for Sentinel-2 images of the South Africa Crop Type dataset.
+Since MSI is ineffective through clouds, it was used to exclude samples that contain a large portion of the area of interest covered by clouds.
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+[More Information Needed]
+
+## Dataset Creation
+
+The masks are created automatically using the [s2cloudless library](https://pypi.org/project/s2cloudless/) using the algorithm presented by [Sergii Skakun et. al](https://doi.org/10.1016/j.rse.2022.112990).
+
+The missing bands are replaced with a channel with no-data value (0) to avoid the algorithm relying on this channel for the prediction.
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+Since no human expert is involved in the process, some annotations could be inaccurate or unreliable. 
+The masks are intended to exclude samples that could be under a certain degree of uncertainty noise, and that cannot be annotated by a human expert, too.
+They should not be used outside this scope.
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+If you use this dataset in your work, consider citing our work.
+
+**BibTeX:**
+
+```bibtex
+@misc{cambrin2024kanitkanssentinel,
+      title={KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation}, 
+      author={Daniele Rege Cambrin and Eleonora Poeta and Eliana Pastor and Tania Cerquitelli and Elena Baralis and Paolo Garza},
+      year={2024},
+      eprint={2408.07040},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2408.07040}, 
+}
+```