Update README.md

README.md

@@ -73,6 +73,11 @@ There are 7 types of data that are associated with a typical Earth Rovers drive,
 
 7. **Speaker**: Audio recordings of the robot's speaker output (ie. gamer's microphone), also with a sample rate of 16000Hz, channel 1.
 
+**Loom Video Explanation**
+
+<iframe width="560" height="315" src="https://youtu.be/yZVflvg4kBw" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+
+
 In total, there were more than ? individual driving sessions recorded, with majority of these drives under 10 minutes long, although there were also drives lasting more than an hour.
 
 | ![Histogram of Session Duration.png](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/vXaVIWxqaBy2x6N9jJnrD.png) |
@@ -156,16 +161,8 @@ Download FrodoBots dataset using the link in this [csv file](https://frodobots-1
 
 ## **Helper code**
 
-Download a FrodoBots dataset sample using [this link](https://frodobots-2k.s3.ap-southeast-1.amazonaws.com/frodobots-dataset-getting-started.zip).
-
 We've provided a helpercode.ipynb file that will hopefully serve as a quick-start for researchers to play around with the dataset.
 
-## **About our partners**
-
-BlurIt
-
-BlurIt is a leading solution for data anonymization. A state-of-the-art AI solution that excels at blurring sensitive details, especially faces and license plates in images and videos. This is vital when personal identifiers are in visual content. BlurIt handles data privacy so that companies can focus on their core business. Our partnership with BlurIt emphasizes the growing need to balance data use with privacy. This partnership underscores our commitment to responsible data handling and privacy protection.
-
 ## **Contributions**
 
-The team at FrodoBots Lab created this dataset, including [Michael Cho](https://twitter.com/micoolcho), Sam Cho, Aaron Tung, Niresh Dravin & Jiamin Ho.
+The team at FrodoBots Lab created this dataset, including [Michael Cho](https://twitter.com/micoolcho), Sam Cho, Aaron Tung, Niresh Dravin & Santiago Pravisani.