Youtube cookery channels viewers comments in Hinglish

The data was collected from the famous cookery Youtube channels in India. The major focus was to collect the viewers' comments in Hinglish languages. The datasets are taken from top 2 Indian cooking channel named Nisha Madhulika channel and Kabita’s Kitchen channel. Both the datasets comments are divided into seven categories:- Label 1- Gratitude Label 2- About the recipe Label 3- About the video Label 4- Praising Label 5- Hybrid Label 6- Undefined Label 7- Suggestions and queries All the labelling has been done manually. <strong>Nisha Madhulika dataset:</strong> <strong>Dataset characteristics: Multivariate</strong> <strong>Number of instances: 4900</strong> <strong>Area: Cooking </strong> <strong>Attribute characteristics: Real</strong> <strong>Number of attributes: 3</strong> <strong>Date donated: March, 2019</strong> <strong>Associate tasks: Classification</strong> <strong>Missing values: Null</strong> <strong>Kabita Kitchen dataset:</strong> <strong>Dataset characteristics: Multivariate</strong> <strong>Number of instances: 4900</strong> <strong>Area: Cooking </strong> <strong>Attribute characteristics: Real</strong> <strong>Number of attributes: 3</strong> <strong>Date donated: March, 2019</strong> <strong>Associate tasks: Classification</strong> <strong>Missing values: Null</strong> There are two separate datasets file of each channel named as preprocessing and main file . The files with preprocessing names are generated after doing the preprocessing and exploratory data analysis on both the datasets. This file includes: Id Comment text Labels Count of stop-words Uppercase words Hashtags Word count Char count Average words Numeric The main file includes: Id comment text Labels