NLP - Word Embeddings
Which Python code correctly loads a pre-trained embedding file named
glove.txt into a dictionary called embeddings?Which Python code correctly loads a pre-trained embedding file named glove.txt into a dictionary called embeddings?
easy📝 Syntax Q12 of 15
Step-by-Step Solution
Solution:
Step 1: Understand the file format
Each line has a word followed by numbers (vector components).Step 2: Choose code that maps words to vectors
embeddings = {line.split()[0]: list(map(float, line.split()[1:])) for line in open('glove.txt')} splits each line, uses first part as key, rest as float list values.Final Answer:
embeddings = {line.split()[0]: list(map(float, line.split()[1:])) for line in open('glove.txt')} -> Option CQuick Check:
Dictionary comprehension with split and float conversion = embeddings = {line.split()[0]: list(map(float, line.split()[1:])) for line in open('glove.txt')} [OK]
Quick Trick: Use dict comprehension with split and float conversion [OK]
Common Mistakes:
MISTAKES- Using read() returns a string, not a dict
- Trying to split on file object directly
- Passing file object to dict() without processing
Master "Word Embeddings" in NLP
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