benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 72634d56-ab3a-5e40-b964-9a695436597a
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import re
from nltk.stem import PorterStemmer
def task_func(text_series):
"""
Process a pandas Series of text data by lowercasing all letters, removing non-alphanumeric
characters (except spaces), removing punctuation, and stemming each word to its root form.
Stemming is done using the NLTK's PorterStemmer, which applies a series of rules to find the stem of each word.
Parameters:
- text_series (pandas.Series): A Series object containing string entries representing text data.
Requirements:
- re
- nltk
Returns:
- pandas.Series: A Series where each string has been processed to remove non-alphanumeric characters,
punctuation, converted to lowercase, and where each word has been stemmed.
Examples:
>>> input_series = pd.Series(["This is a sample text.", "Another example!"])
>>> output_series = task_func(input_series)
>>> print(output_series.iloc[0])
thi is a sampl text
>>> print(output_series.iloc[1])
anoth exampl
"""
instruct prompt
Process a pandas Series of text data by lowercasing all letters, removing non-alphanumeric characters (except spaces), removing punctuation, and stemming each word to its root form. Stemming is done using the NLTK's PorterStemmer, which applies a series of rules to find the stem of each word.
The function should output with:
pandas.Series: A Series where each string has been processed to remove non-alphanumeric characters,
punctuation, converted to lowercase, and where each word has been stemmed.
You should write self-contained code starting with:
Code
import re
from nltk.stem import PorterStemmer
def task_func(text_series):
code prompt
Code
import re
from nltk.stem import PorterStemmer
def task_func(text_series):
entry point
task_func
libs
- nltk
- re
Discussion
No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
See answer Answer published by the source
Artifacts
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Source and history
- task_id
72634d56-ab3a-5e40-b964-9a695436597a- task_key
default--v0~2e1~2e0~5fhf--72634d56-ab3a-5e40-b964-9a695436597a- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import