Update README.md

README.md

@@ -9,13 +9,38 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 1200871225.0
+    num_bytes: 1200871225
     num_examples: 10000
   download_size: 1199201925
-  dataset_size: 1200871225.0
+  dataset_size: 1200871225
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- image-segmentation
 ---
+
+## 📄 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
+- captions: a list of captions for the image, each by a different labeler.
+
+### 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).