Update index.html

Author: JRequenaC

yummy/index.html

@@ -193,7 +193,7 @@ <h3 style="font-weight:600; font-family: sans-serif;"> About Dataset <div style=
 
 <font size="4">
 Food pictures continuously flood the internet and the machine learning community has long been scraping the web to build models that identify food on images. 
-The resulting datasets have been invaluable for the purpose of food classification, but unfortunately do not allow us to explore the humam dimension. The
+The resulting datasets have been invaluable for the purpose of food classification but unfortunately, do not allow us to explore the humam dimension. The
 MLEnd Yummy Dataset is a collection of more than 3,000 enriched images from more than 200 participants that opens a window to our relationship as humans with food. 
 This dataset was created by students at the School of Electronic Engineering and Computer Science, Queen Mary University of London. Students took pictures 
 of dishes that they were about to eat, ate them and then annotated each pucture, adding attributes such as the dish name, ingredients, whether they liked their