Questions

1. A tokenized dictionary contains every word that exists in a language. (True/False)
2. Pretrained tokenizers can encode any dataset. (True/False)
3. It is good practice to check a database before using it. (True/False)
4. It is good practice to eliminate obscene data from datasets. (True/False)
5. It is good practice to delete data containing discriminating assertions. (True/False)
6. Raw datasets might sometimes produce relationships between noisy content and useful content. (True/False)
7. A standard pretrained tokenizer contains the English vocabulary of the past 700 years. (True/False)
8. Old English can create problems when encoding data with a tokenizer trained in modern English. (True/False)
9. Medical and other types of jargon can create problems when encoding data with a tokenizer trained in modern English. (True/False)
10. Controlling the output of the encoded data produced by a pretrained tokenizer is good practice. (True/False)