Update README.md

README.md

@@ -3,17 +3,17 @@
 This is the StorySalon dataset proposed in StoryGen. 
 
 For the open-source PDF data, you can directly download the frames, corresponding masks, descriptions and original story narratives.
-For the data extracted from YouTube videos, we also provide their corresponding masks, descriptions and original story narratives in this repostiroy. However, you need to refer to `./Image_Inpainted/Video/metadata.json` to download the video meta-data by yourself, and then use the provided data processing pipeline to obtain the frames.
+For the data extracted from YouTube videos, we also provide their corresponding masks, descriptions and original story narratives in this repository. However, you need to refer to `./Image_Inpainted/Video/metadata.json` to download the video meta-data by yourself, and then use the provided data processing pipeline to obtain the frames.
 
 ## Video Meta Data Preparation
-We provide the metadata of our StorySalon dataset in `./Image_Inpainted/Video/metadata.json`. It includes the id, name, url, duration and the keyframe list after filtering of the videos.
+We provide the metadata of our StorySalon dataset in `./Image_Inpainted/Video/metadata.json`. It includes the id, name, url, duration and the keyframe list after filtering the videos.
 
 To download these videos, we recommend to use [youtube-dl](https://github.com/yt-dlp/yt-dlp) via:
 ```
 youtube-dl --write-auto-sub -o 'file\%(title)s.%(ext)s' -f 135 [url]
 ```
 
-The keyframes extracted with the following data processing pipeline (step 1) can be filtered according to the keyframe list provided in the metadata to avoid manually selection.
+The keyframes extracted with the following data processing pipeline (step 1) can be filtered according to the keyframe list provided in the metadata to avoid manual selection.
 
 The corresponding masks, story-level description and visual description can be extracted with the following data processing pipeline or downloaded from [here](https://huggingface.co/datasets/haoningwu/StorySalon).
 
@@ -39,4 +39,4 @@ If you use this dataset for your research or project, please cite:
 	}
 
 ## Contact
-If you have any question, please feel free to contact haoningwu3639@gmail.com or liuchang666@sjtu.edu.cn.
+If you have any questions, please feel free to contact haoningwu3639@gmail.com or liuchang666@sjtu.edu.cn.