Update README.md

README.md

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 ## MmCows: A Multimodal Dataset for Dairy Cattle Monitoring
 
-MmCows is a large-scale multimodal dataset for behavior monitoring, health management, and dietary management of dairy cattle.
+<!-- MmCows is a large-scale multimodal dataset for behavior monitoring, health management, and dietary management of dairy cattle.
 
 The dataset consists of data from 16 dairy cows collected during a 14-day real-world deployment, divided into two modality groups. The primary group includes 3D UWB location, cows' neck IMMU acceleration, air pressure, cows' CBT, ankle acceleration, multi-view RGB images, indoor THI, outdoor weather, and milk yield. The secondary group contains measured UWB distances, cows' head direction, lying behavior, and health records.
 
 MmCows also contains 20,000 isometric-view images from multiple camera views in one day that are annotated with cows' ID and their behavior as the ground truth. The annotated cow IDs from multi-views are used to derive their 3D body location ground truth.
+ -->
 
-More details of the dataset and benchmarks are available at https://github.com/neis-lab/mmcows.
+Details of the dataset and benchmarks are available at https://github.com/neis-lab/mmcows.
 
 Brief overview video: https://www.youtube.com/watch?v=YBDvz-HoLWg
 
+Please read the instruction below for downloading.
+
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 ## 1. Install requirements