[Solved] Identify the error in this code snippet for loading embeddings: embedding = {} for line in open('embed.txt'): word, vector = line.split() embedding[word] = list(map(float, vector)) | NLP

NLP - Word Embeddings

Identify the error in this code snippet for loading embeddings:

embedding = {}
for line in open('embed.txt'):
    word, vector = line.split()
    embedding[word] = list(map(float, vector))

Amap(float, vector) incorrectly maps over string characters

Bline.split() splits into more than two parts, causing unpack error

Cembedding dictionary is not initialized

Dopen() function is missing file mode

Step-by-Step Solution

Solution:

Step 1: Analyze line.split() output
Embedding lines have word plus multiple vector values, so split() returns many parts.
Step 2: Check unpacking and mapping
Unpacking into word, vector fails because vector is expected as one string but is multiple tokens; also map(float, vector) maps over string characters, not floats.
Final Answer:
line.split() splits into more than two parts, causing unpack error -> Option B
Quick Check:
Vector must be list of floats, not string chars [OK]

Quick Trick: Split line correctly to separate word and vector list [OK]

Common Mistakes:

MISTAKES

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