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BigCodeBench / BigCodeBench v0.1.0_hf f3bd5fd8-2ceb-5572-8935-db10e9793d9b

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import re
import string
from nltk.stem import PorterStemmer
from collections import Counter

STEMMER = PorterStemmer()

def task_func(content):
    """
    Stem every word in a sentence, except the last, and count the frequency of each stem.

    Parameters:
    content (str): The sentence to stem and count.

    Returns:
    dict: A dictionary with stemmed words as keys and their frequency as values.

    Requirements:
    - re
    - string
    - nltk.stem
    - collections.Counter

    Example:
    >>> task_func('running runner run')
    {'run': 1, 'runner': 1}
    """

instruct prompt

Stem every word in a sentence, except the last, and count the frequency of each stem.
The function should output with:
    dict: A dictionary with stemmed words as keys and their frequency as values.
You should write self-contained code starting with:

Code

import re
import string
from nltk.stem import PorterStemmer
from collections import Counter
STEMMER = PorterStemmer()
def task_func(content):

code prompt

Code

import re
import string
from nltk.stem import PorterStemmer
from collections import Counter
STEMMER = PorterStemmer()
def task_func(content):

entry point

task_func

libs

  • nltk
  • collections
  • string
  • re

Discussion

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Source and history

task_id
f3bd5fd8-2ceb-5572-8935-db10e9793d9b
task_key
default--v0~2e1~2e0~5fhf--f3bd5fd8-2ceb-5572-8935-db10e9793d9b
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import