Update README.md

README.md

@@ -18,4 +18,52 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-segmentation
+- image-to-text
+- text-to-image
+language:
+- en
+pretty_name: COCO 2017 segmentation dataset downsampled with captions
+size_categories:
+- 10K<n<100K
 ---
+
+## 📄 License and Attribution
+
+This dataset is a downsampled version of the [COCO 2017 dataset](https://cocodataset.org/#home), tailored for segmentation tasks. It has the following fields:
+
+
+- image: 256x256 image
+- segmentation: 256x256 image. Each pixel encodes the class of that pixel. See `class_names_dict.json` for a legend.
+- captions: a list of captions for the image, each by a different labeler.
+
+
+Use the dataset as follows:
+
+```python
+import requests
+from datasets import load_dataset
+
+ds = load_dataset("peteole/coco2017-segmentation", split="train")
+
+# Optional: Load the class names as dict
+url = "https://huggingface.co/datasets/peteole/coco2017-segmentation-10k-256x256/resolve/main/class_names_dict.json"
+response = requests.get(url)
+class_names_dict = response.json()
+```
+
+### License
+
+- **License Type**: [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)
+- **License Details**: This license permits redistribution, modification, and commercial use, provided that appropriate credit is given to the original creators.
+- **Original Dataset License**: The original COCO 2017 dataset is licensed under CC BY 4.0.
+
+### Attribution
+
+When using this dataset, please cite the original COCO dataset as follows:
+
+> Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár. "Microsoft COCO: Common Objects in Context." In *European Conference on Computer Vision*, pp. 740–755. Springer, 2014.
+
+For more information, visit the [COCO dataset website](https://cocodataset.org/#home).