One-hot encoding for text in NLP - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a one-hot encoded vector for the word 'cat' using the vocabulary.

NLP

vocab = ['cat', 'dog', 'bird']
word = 'cat'
one_hot = [1 if w == [1] else 0 for w in vocab]

Drag options to blanks, or click blank then click option'

Aword

B'cat'

C'dog'

D'bird'

Attempts:

3 left

💡 Hint

Common Mistakes

Using the variable 'word' instead of the string 'cat' inside the list comprehension.

Using a wrong string like 'dog' or 'bird' for comparison.

We compare each word in the vocabulary to the string 'cat' to create the one-hot vector.

2fill in blank

medium

Complete the code to build a one-hot encoding dictionary for all words in the vocabulary.

NLP

vocab = ['apple', 'banana', 'cherry']
one_hot_dict = {word: [1 if w == [1] else 0 for w in vocab] for word in vocab}

Drag options to blanks, or click blank then click option'

Aword

B'apple'

C'banana'

D'cherry'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a fixed string like 'apple' instead of the variable 'word'.

Confusing the roles of 'word' and 'w' in the comprehension.

We use the variable 'word' to create one-hot vectors for each word in the vocabulary.

3fill in blank

hard

Fix the error in the code to correctly create a one-hot vector for the word 'dog'.

NLP

vocab = ['cat', 'dog', 'fish']
word = 'dog'
one_hot = [1 if w == [1] else 0 for w in vocab]

Drag options to blanks, or click blank then click option'

A'dog'

Bword

Cdog

D'cat'

Attempts:

3 left

💡 Hint

Common Mistakes

Using the variable dog without quotes causing a NameError.

Using the variable 'word' without quotes when the code expects a string.

The comparison must be with the string 'dog' (in quotes) to match vocabulary words correctly.

4fill in blank

hard

Fill both blanks to create a one-hot encoding dictionary for the vocabulary.

NLP

vocab = ['red', 'green', 'blue']
one_hot_dict = {word: [1 if w == [1] else 0 for w in [2]] for word in vocab}

Drag options to blanks, or click blank then click option'

Aword

Bvocab

Cwords

Dcolors

Attempts:

3 left

💡 Hint

Common Mistakes

Using undefined variables like 'words' or 'colors' instead of 'vocab'.

Mixing up the blanks by putting 'vocab' in the first blank.

We compare each word 'w' to the current 'word' and iterate over the vocabulary list 'vocab'.

5fill in blank

hard

Fill all three blanks to create a one-hot encoding dictionary and print the vector for 'blue'.

NLP

vocab = ['red', 'green', 'blue']
one_hot_dict = { [1]: [1 if w == [2] else 0 for w in [3] ] for word in vocab }
print(one_hot_dict['blue'])

Drag options to blanks, or click blank then click option'

Aword

Cvocab

Dw

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'w' as the dictionary key instead of 'word'.

Using 'w' in the comparison instead of 'word'.

Iterating over an undefined variable instead of 'vocab'.

The dictionary key is 'word', the comparison is with 'word', and the iteration is over 'vocab'.