Update README.md

README.md

@@ -7,11 +7,12 @@ size_categories:
 task_categories:
 - image-to-video
 - text-to-video
+- text-to-image
+- image-to-image
 pretty_name: TIP-I2V
 tags:
 - prompt
 - image-to-video
-- text-to-video
 - visual-generation
 - video-generation
 dataset_info:
@@ -39,10 +40,10 @@ dataset_info:
     num_bytes: 13538959055.45
     num_examples: 1701935
   - name: Subset
-    num_bytes: 796512047.0
+    num_bytes: 796512047
     num_examples: 100000
   - name: Eval
-    num_bytes: 78836541.0
+    num_bytes: 78836541
     num_examples: 10000
   download_size: 14247800861
   dataset_size: 14414307643.45
@@ -57,6 +58,11 @@ configs:
     path: data/Eval-*
 ---
 
+# News
+🌟 Downloaded **10,000+** times on Hugging Face after one month of release.
+
+✨ Ranked **Top 1** in the Hugging Face Dataset Trending List for the visual generation community (image-to-video, text-to-video, text-to-image, and image-to-image) on November 10, 2024.
+
 # Summary
 This is the dataset proposed in our paper **TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation**.
 
@@ -220,5 +226,4 @@ Click the [WizMap (TIP-I2V VS VidProM)](https://poloclub.github.io/wizmap/?dataU
 
 # License
 
-The prompts and videos in our TIP-I2V are licensed under the [CC BY-NC 4.0 license](https://creativecommons.org/licenses/by-nc/4.0/deed.en). 
-
+The prompts and videos in our TIP-I2V are licensed under the [CC BY-NC 4.0 license](https://creativecommons.org/licenses/by-nc/4.0/deed.en).