Add link to paper, task category

This PR ensures the dataset can be found at https://huggingface.co/papers/2404.18212.

README.md

@@ -1,5 +1,7 @@
 ---
 license: cc-by-4.0
+task_categories:
+- image-segmentation
 dataset_info:
   features:
   - name: mask
@@ -34,7 +36,7 @@ configs:
 
 The PIPE (Paint by InPaint Edit) dataset is designed to enhance the efficacy of mask-free, instruction-following image editing models by providing a large-scale collection of image pairs and diverse object addition instructions.
 Here, we provide the masks used for the inpainting process to generate the source image for the PIPE dataset for both the train and test sets. 
-Further details can be found in our [project page](https://rotsteinnoam.github.io/Paint-by-Inpaint) and [paper](arxiv.org/abs/2404.18212).
+Further details can be found in our [project page](https://rotsteinnoam.github.io/Paint-by-Inpaint) and [paper](https://huggingface.co/papers/2404.18212).
 
 ## Columns
 
@@ -59,3 +61,4 @@ print(example_train_mask)
 
 example_test_mask = dataset_masks['test'][0]
 print(example_test_mask)
+```