Update README.md

README.md

@@ -4,7 +4,7 @@ configs:
   data_files:
   - split: train
     path: "activitynet_captions_train.json"
-  - split: val1 (test)
+  - split: val1
     path: "activitynet_captions_val1.json"
   - split: val2
     path: "activitynet_captions_val2.json"
@@ -21,7 +21,7 @@ size_categories:
 [ActivityNet Captions](https://openaccess.thecvf.com/content_iccv_2017/html/Krishna_Dense-Captioning_Events_in_ICCV_2017_paper.html) contains 20K long-form videos (180s as average length) from YouTube and 100K captions. Most of the videos contain over 3 annotated events. We follow the existing works to concatenate multiple short temporal descriptions into long sentences and evaluate ‘paragraph-to-video’ retrieval on this benchmark.
 
 We adopt the official split:  
-- Train:  10,009 videos, 10,009 captions (concatenate from 37,421 short captions)    
+- Train:  10,009 videos, 10,009 captions (concatenate from 37,421 short captions)  
 - Test (Val1): 4,917 videos, 4,917 captions (concatenate from 17,505 short captions)  
 - Val2: 4,885 videos, 4,885 captions (concatenate from 17,031 short captions)