mutation_id
string | task_id
string | prompt
string | response
string | mutation_info
string | score
float64 | scores
string | solutions
string | solutions_info
string |
|---|---|---|---|---|---|---|---|---|
0 | BigCodeBench/334 | Modify the given function to introduce a subtle bug that causes some unit tests to fail.
Rules:
1. Keep the function signature exactly the same.
2. Only modify the function implementation (the code inside the function).
3. Do not include the function signature, docstrings, or comments.
Response Format:
1. The modified function body, wrapped in ```python and ```
2. A brief explanation of the bug prefixed with 'Explanation:'
Example:
Prompt:
def add(a, b):
Original:
return a + b
Response:
```python
return a - b
```
Explanation: Replaced addition operator with subtraction.
Problem Description:
from nltk.tokenize import word_tokenize
from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
def task_func(documents):
"""
Calculate the TF-IDF score of the words in a list of documents.
Parameters:
- documents (list of str): A list of text documents.
Returns:
pandas.DataFrame: A DataFrame with words as columns and documents as rows, containing the TF-IDF scores.
Requirements:
- nltk.tokenize.word_tokenize
- sklearn.feature_extraction.text.TfidfVectorizer
- pandas
Example:
>>> docs = ['This is the first document.', 'This document is the second document.', 'And this is the third one.', 'Is this the first document?']
>>> tfidf = task_func(docs)
>>> print(tfidf.shape)
(4, 11)
"""
Original Implementation:
vectorizer = TfidfVectorizer(tokenizer=word_tokenize)
tfidf_matrix = vectorizer.fit_transform(documents)
tfidf_df = pd.DataFrame(tfidf_matrix.toarray(), columns=vectorizer.get_feature_names_out())
return tfidf_df
Your Response:
| vectorizer = TfidfVectorizer(tokenizer=word_tokenize)
tfidf_matrix = vectorizer.fit_transform(documents)
tfidf_df = pd.DataFrame(tfidf_matrix.toarray(), columns=vectorizer.get_feature_names())
return tfidf_df | ["fail", {"ALL": "/iris/u/cchoi1/miniconda3/envs/adv2/lib/python3.10/lib-dynload/_sqlite3.cpython-310-x86_64-linux-gnu.so: failed to map segment from shared object"}] | 0 | [0.0] | [" vectorizer = TfidfVectorizer(tokenizer=word_tokenize)\n tfidf_matrix = vectorizer.fit_transform(documents)\n tfidf_df = pd.DataFrame(tfidf_matrix.toarray(), columns=vectorizer.get_feature_names_out())\n return tfidf_df"] | [["fail", {"ALL": "/iris/u/cchoi1/miniconda3/envs/adv2/lib/python3.10/lib-dynload/_sqlite3.cpython-310-x86_64-linux-gnu.so: failed to map segment from shared object"}]] |
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