Create README.md

The dataset comprises three key features: tweets, labels (with hate speech denoted as 1 and non-hate speech as 0), and categories (behavior, class, disability, ethnicity, gender,
physical appearance, race, religion, sexual orientation).

Training set: contains a total of 5679 tweets (Hate Speech: 1516 / Non Hate Speech: 4163), and the number of hate speech in each category is not equally distributed.
Testing set: contains a total of 1000 tweets (Hate Speech: 500 / Non Hate Speech: 500), and the number of hate speech in each category is generally even.

README.md

@@ -0,0 +1,13 @@
+---
+task_categories:
+- text-classification
+language:
+- en
+tags:
+- health
+- tweet
+- hate speech
+- mental health
+size_categories:
+- 1K<n<10K
+---