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README.md

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----
-license: cc-by-nc-4.0
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: annotation
-    dtype: image
-  splits:
-  - name: train
-    num_bytes: 8683872818.848
-    num_examples: 45728
-  - name: val
-    num_bytes: 1396718238.836
-    num_examples: 15358
-  - name: test
-    num_bytes: 1516829621.65
-    num_examples: 4623
-  download_size: 12492798567
-  dataset_size: 11597420679.334
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: val
-    path: data/val-*
-  - split: test
-    path: data/test-*
----
+---
+license: cc-by-nc-4.0
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: annotation
+    dtype: image
+  splits:
+  - name: train
+    num_bytes: 8683872818.848
+    num_examples: 45728
+  - name: val
+    num_bytes: 1396718238.836
+    num_examples: 15358
+  - name: test
+    num_bytes: 1516829621.65
+    num_examples: 4623
+  download_size: 12492798567
+  dataset_size: 11597420679.334
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: val
+    path: data/val-*
+  - split: test
+    path: data/test-*
+---
+
+# Dataset Card for Cloud-Adapter
+
+This dataset card aims to describe the datasets used in the Cloud-Adapter, a collection of high-resolution satellite images and semantic segmentation masks for cloud detection and related tasks.
+
+## Uses
+
+## Dataset Structure
+
+The dataset contains the following splits:
+- `train`: Training images and corresponding segmentation masks.
+- `val`: Validation images and corresponding segmentation masks.
+- `test`: Testing images and corresponding segmentation masks.
+
+Each data point includes:
+- `image`: The input satellite image (PNG or JPG format).
+- `annotation`: The segmentation mask (PNG format).
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was created to facilitate the reproduction of Cloud-Adapter.
+
+### Source Data
+
+#### Data Collection and Processing
+
+The dataset combines multiple sub-datasets, each processed to ensure consistency in format and organization:
+- Images and annotations were organized into `train`, `val`, and `test` splits.
+- Annotations were verified for accuracy and class consistency.
+
+#### Who are the source data producers?
+
+The dataset combines data from various remote sensing sources. Specific producers are as follows:
+- WHU (gf12ms, hrc)
+- Cloudsen12 dataset
+- L8 Biome dataset
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+Xavier Jiezou. (2024). *Cloud-Adapter: A Semantic Segmentation Dataset for Remote Sensing Cloud Detection*. Retrieved from https://huggingface.co/datasets/XavierJiezou/Cloud-Adapter.
+
+## Glossary [optional]
+
+[More Information Needed]
+
+## More Information
+
+[More Information Needed]
+
+## Dataset Card Authors
+
+This dataset card was authored by Xavier Jiezou.
+
+## Dataset Card Contact
+
+For questions, please contact Xavier Jiezou at xuechaozou (at) foxmail (dot) com.