Update README.md

README.md

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 [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)  
-- 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)  
+- **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)  
 
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