Add comprehensive dataset card for Copernicus-Pretrain

README.md

@@ -1,3 +1,62 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+task_categories:
+- image-feature-extraction
+tags:
+- earth-observation
+- remote-sensing
+- satellite-imagery
+- multimodal
+- sentinel
+- pretraining-data
+size_categories:
+- 10M<n<100M
+---
+
+# Copernicus-Pretrain Dataset
+
+This repository contains the **Copernicus-Pretrain** dataset, part of the work presented in the paper [Towards a Unified Copernicus Foundation Model for Earth Vision](https://arxiv.org/abs/2503.11849).
+
+The official implementation and more details about the Copernicus Foundation Model project can be found on GitHub: [https://github.com/wangyi111/Copernicus-FM](https://github.com/wangyi111/Copernicus-FM).
+
+### Introduction
+
+Recent advances in Earth observation (EO) foundation models have unlocked the potential of big satellite data to learn generic representations from space, benefiting a wide range of downstream applications crucial to our planet. This work takes a step towards next-generation EO foundation models with three key components:
+
+1.  **Copernicus-Pretrain**: A massive-scale pretraining dataset that integrates 18.7M aligned images from all major Copernicus Sentinel missions, spanning from the Earth's surface to its atmosphere.
+2.  **Copernicus-FM**: A unified foundation model capable of processing any spectral or non-spectral sensor modality using extended dynamic hypernetworks and flexible metadata encoding.
+3.  **Copernicus-Bench**: A systematic evaluation benchmark with 15 hierarchical downstream tasks ranging from preprocessing to specialized applications for each Sentinel mission.
+4.  **Copernicus-Embed-025deg**: An embedding dataset that provides a global embedding map (721x1440x768) at 0.25°, integrating various sources of satellite observations at an extremely high compression ratio.
+
+This dataset, model, and benchmark greatly improve the scalability, versatility, and multimodal adaptability of EO foundation models, while also creating new opportunities to connect EO, weather, and climate research.
+
+### Copernicus-Pretrain Dataset
+
+Copernicus-Pretrain is an extension of the [SSL4EO-S12](https://github.com/zhu-xlab/SSL4EO-S12) dataset to all major Sentinel missions (S1-S5P). The images are organized into ~310K regional grids (0.25°x0.25°, consistent with ERA5), densely covering the whole land surface and near-land ocean with time series from eight distinct Sentinel modalities.
+
+![Framework Diagram](https://github.com/wangyi111/Copernicus-FM/raw/main/assets/data_main-1.png)
+
+#### Dataset Access
+
+The dataset within this Hugging Face repository is available in two formats:
+
+-   **Raw format (GeoTiff)**: This version is available directly via this Hugging Face dataset repository.
+-   **Streaming format (WebDataset)**: This version is also available via this Hugging Face dataset repository.
+
+For further details, refer to the [`Copernicus-Pretrain/`](https://github.com/wangyi111/Copernicus-FM/tree/main/Copernicus-Pretrain) directory in the main GitHub repository.
+
+### Citation
+
+If you use this dataset in your research, please cite the original paper:
+
+```bibtex
+@misc{wang2025unifiedcopernicusfoundationmodel,
+      title={Towards a Unified Copernicus Foundation Model for Earth Vision}, 
+      author={Yi Wang and Zhitong Xiong and Chenying Liu and Adam J. Stewart and Thomas Dujardin and Nikolaos Ioannis Bountos and Angelos Zavras and Franziska Gerken and Ioannis Papoutsis and Laura Leal-Taixé and Xiao Xiang Zhu},
+      year={2025},
+      eprint={2503.11849},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2503.11849}, 
+}
+```