Task: Question Answering
Input (English): Tweets IDs 6, 8, and 10 are some samples containing offensive words and slurs which arenot hate or offensive in all cases and writers of them used this type of language in their daily communications. Given these pieces of evidence, by considering the content of tweets, we can see in tweets IDs 3, 4, and 9 that our BERT-based classifier can discriminate tweets in which neither and implicit hatred content exist. 
 Question: What evidence do the authors present that the model can capture some biases in data annotation and collection?
Output (English): The authors showed few tweets where neither and implicit hatred content exist but the model was able to discriminate