Update README.md

README.md

@@ -84,15 +84,22 @@ df = pd.DataFrame(ds)
 ```python
 # Embeddings for full text prompts (~21G) and image prompts (~3.5G)
 from huggingface_hub import hf_hub_download
-hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Full_Text_Embedding.parquet", repo_type="dataset")
-hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Full_Image_Embedding.parquet", repo_type="dataset")
+hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Embedding/Full_Text_Embedding.parquet", repo_type="dataset")
+hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Embedding/Full_Image_Embedding.parquet", repo_type="dataset")
 ```
 
 ```python
 # Embeddings for 100k subset text prompts (~1.2G) and image prompts (~0.2G)
 from huggingface_hub import hf_hub_download
-hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Subset_Text_Embedding.parquet", repo_type="dataset")
-hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Subset_Image_Embedding.parquet", repo_type="dataset")
+hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Embedding/Subset_Text_Embedding.parquet", repo_type="dataset")
+hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Embedding/Subset_Image_Embedding.parquet", repo_type="dataset")
+```
+
+```python
+# Embeddings for 10k TIP-Eval text prompts (~0.1G) and image prompts (~0.02G)
+from huggingface_hub import hf_hub_download
+hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Embedding/Eval_Text_Embedding.parquet", repo_type="dataset")
+hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="Embedding/Eval_Image_Embedding.parquet", repo_type="dataset")
 ```
 
 
@@ -111,7 +118,7 @@ for i in range(1,3):
 ```
 
 ```python
-# 10k TIP-Eval uncompressed image prompts: ~69.6G
+# 10k TIP-Eval uncompressed image prompts: ~6.5G
 from huggingface_hub import hf_hub_download
 hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="eval_image_prompt_tar/eval_image_prompt.tar", repo_type="dataset")
 ```