Updated README

README.md

@@ -34,6 +34,8 @@ task_categories:
 pretty_name: SATellite ImageNet
 size_categories:
 - 100K<n<1M
+language:
+- en
 ---
 
 # Dataset Card for Dataset Name
@@ -42,93 +44,92 @@ size_categories:
 
 - **Homepage:** [https://satinbenchmark.github.io](https://satinbenchmark.github.io)
 - **Repository:** 
-- **Paper:** [SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models](https://arxiv.org/abs/2206.07045)
-- **Leaderboard:** 
+- **Paper:** [SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models]()
+- **Leaderboard:** [https://satinbenchmark.github.io/leaderboard.md](https://satinbenchmark.github.io/leaderboard.md)
 
 ### Dataset Summary
 
-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).
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-[More Information Needed]
+SATIN (SATellite ImageNet) is a metadataset containing 27 constituent satellite and aerial image datasets spanning 6 distinct tasks: Land Cover, Land Use, 
+Hierarchical Land Use, Complex Scenes, Rare Scenes, and False Colour Scenes. The imagery is globally distributed, comprised of resolutions spanning 5 orders 
+of magnitude, multiple fields of view sizes, and over 250 distinct class labels.
 
 ## Dataset Structure
 
-### Data Instances
-
-[More Information Needed]
+The SATIN benchmark is comprised of the following datasets:
+#### Task 1: Land Cover
+- SAT-4
+- SAT-6
+- NASC-TG2
+#### Task 2: Land Use
+- WHU-RS19
+- RSSCN7
+- RS_C11
+- SIRI-WHU
+- EuroSAT
+- NWPU-RESISC45
+- PatternNet
+- RSD46-WHU
+- GID
+- CLRS
+- Optimal-31
+#### Task 3: Hierarchical Land Use
+- Million-AID
+- RSI-CB256
+#### Task 4: Complex Scenes
+- UC_Merced_LandUse_MultiLabel
+- MLRSNet
+- MultiScene
+- AID_MultiLabel
+#### Task 5: Rare Scenes
+- Airbus-Wind-Turbines-Patches
+- USTC_SmokeRS
+- Canadian_Cropland
+- Ships-In-Satellite-Imagery
+- Satellite-Images-of-Hurricane-Damage
+#### Task 6: False Colour Scenes
+- Brazilian_Coffee_Scenes
+- Brazilian_Cerrado-Savanna_Scenes
 
-### Data Fields
+For ease of use and to avoid having to download the entire benchmark for each use, in this dataset repository, each of the 27 datasets is included as a separate 
+'config'.
 
-[More Information Needed]
+### Example Usage
+```python
+from datasets import load_dataset
 
-### Data Splits
 
-[More Information Needed]
+hf_dataset = load_dataset('jonathan-roberts1/SATIN', DATASET_NAME, split='train') # for DATASET_NAME use one of the configs listed above (e.g., EuroSAT)
+features = hf_dataset.features
+class_labels = features['label'].names # Note for the Hierarchical Land Use datasets, the label field is replaced with label1, label2, ...
 
-## Dataset Creation
+random_index = 5
+example = hf_dataset[random_index]
+image, label = example['image'], example['label']
+```
 
-### Curation Rationale
+### Data Splits
 
-[More Information Needed]
+For each config, there is just the single, default ``train'' split.
 
 ### Source Data
 
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
+More information regarding the source data can be found in our paper. Additionally, each of the constituent datasets have been uploaded to HuggingFace datasets.
+They can be accessed at: huggingface.co/datasets/jonathan-roberts1/DATASET_NAME.
 
 ### Dataset Curators
 
-[More Information Needed]
+This dataset was curated by Jonathan Roberts, Kai Han, and Samuel Albanie
 
 ### Licensing Information
 
-[More Information Needed]
+As SATIN is comprised of existing datasets with differing licenses, there is not a single license for SATIN. All of the datasets in SATIN can be used 
+for research purposes; usage information of specific constituent datasets can be found in the Appendix of our paper.
 
 ### Citation Information
 
-[More Information Needed]
-
-### Contributions
-
-[More Information Needed]
+@article{roberts2023satin,
+  title        = {SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models},
+  author       = {Jonathan Roberts, Kai Han, and Samuel Albanie},
+  year         = {2023},
+  journal      = {arXiv preprint arXiv:INSERT_NUM}
+}