In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.

Example Input: Comment: This year’s presidential election should have been an easy win for the GOP, but they threw it away by nominating Trump.

Imagine if they had picked Cruz or Kasich, how close it would be. They would be taking the fight to Hillary, instead of wasting their time attacking fellow Republicans, and the parents of a fallen soldier. Instead we will have at least 12 years of a Democrat in the White House, possibly even more, if the GOP civil war continues.

The GOP is now the party of Trump. It is self-destructing before our eyes. To all of you who made Trump your nominee,  I say THANK YOU!
Example Output: Non-identity-attack

Example Input: Comment: I almost stopped reading at the mention of sexual violence and racism - a non issue.
As for rankings - remember that the differentials are insignificant given the large number of universities involved. Much more important to pick a degree program that meets your career objectives and ability to pay off the student loan(s) !
Now to TAs, professors, instructors .... Welcome to the real world of having to deal with humanity and its foibles .-) As a student it is up to you to learn the material, period. Grow up - university is for weeding out snow flakes among other things.
And professional degree programs have a 50%+/- "fail" rate. Your inflated high school grade -> "meet reality" ! You are among/competing with the top 10% of academic achievers who are smarter than their Discovery Math high school teachers.
Example Output: Non-identity-attack

Example Input: Comment: Globe and Mail; Editorial ; Trump is a stinky poopy pants , and his feet stink, and his butt stinks and  his hair looks stupid.  What a ret@rd.
Example Output:
Non-identity-attack