Manipulating datasets
There will likely be many occasions when you will need to manipulate a dataset before using it within a ML task. Two common manipulations are filtering and selecting (or slicing). Given the size of these datasets, Hugging Face leverages arrow file types.
This means performing manipulations are slightly different than what you might be used to. Fortunately, there's already methods to help with this!
The dataset is already loaded for you under wikipedia.
This exercise is part of the course
Working with Hugging Face
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Filter the documents
____ = wikipedia.____(lambda row: "football" in row["____"])
# Create a sample dataset
example = ____.____(range(1))
print(example[0]["text"])