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.
Questo esercizio fa parte del corso
Working with Hugging Face
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Filter the documents
____ = wikipedia.____(lambda row: "football" in row["____"])
# Create a sample dataset
example = ____.____(range(1))
print(example[0]["text"])