NLP Course documentation

End-of-chapter quiz

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End-of-chapter quiz

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This chapter covered a lot of ground! Don’t worry if you didn’t grasp all the details; the next chapters will help you understand how things work under the hood.

Before moving on, though, let’s test what you learned in this chapter.

1. The load_dataset() function in πŸ€— Datasets allows you to load a dataset from which of the following locations?

2. Suppose you load one of the GLUE tasks as follows:

from datasets import load_dataset

dataset = load_dataset("glue", "mrpc", split="train")

Which of the following commands will produce a random sample of 50 elements from dataset?

3. Suppose you have a dataset about household pets called pets_dataset , which has a name column that denotes the name of each pet. Which of the following approaches would allow you to filter the dataset for all pets whose names start with the letter β€œL”?

4. What is memory mapping?

5. Which of the following are the main benefits of memory mapping?

6. Why does the following code fail?

from datasets import load_dataset

dataset = load_dataset("allocine", streaming=True, split="train")

7. Which of the following are the main benefits of creating a dataset card?

8. What is semantic search?

9. For asymmetric semantic search, you usually have:

10. Can I use πŸ€— Datasets to load data for use in other domains, like speech processing?