Update dataset card with link to HF paper

This PR ensures the dataset card links to (and can be found at) https://huggingface.co/papers/2412.16153.

README.md

@@ -1,13 +1,14 @@
 ---
-license: mit
-task_categories:
-- image-to-video
 language:
 - en
+license: mit
 size_categories:
 - n<1K
+task_categories:
+- image-to-video
 ---
-This is the official repository of TI2V-Bench dataset proposed in the paper [MotiF: Making Text Count in Image Animation with Motion Focal Loss](arxiv.org/abs/2412.16153). 
+
+This is the official repository of TI2V-Bench dataset proposed in the paper [MotiF: Making Text Count in Image Animation with Motion Focal Loss](https://huggingface.co/papers/2412.16153). 
 
 TI2V-Bench comprises text-image pairs from 22 diverse scenarios featuring a variety of objects and scenes. Each scenario includes 3 to 5 images with similar content presented in different styles, alongside multiple distinct prompts designed to animate these images and generate varied outputs. The benchmark includes a total of 320 image-text pairs, consisting of 88 unique images and 133 unique prompts.