benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 5f3ceaaf-afe2-5ff6-b165-74595984b675
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import re
from collections import Counter
from nltk.corpus import stopwords
def task_func(text: str) -> dict:
"""
Count the number of non-stop words in a given text.
Parameters:
- text (str): The input text for word counting.
Returns:
dict: A dictionary with the words (as keys) and their counts (as values).
Requirements:
- re
- collections.Counter
Example:
>>> count = task_func("This is a sample text. Some words are repeated.")
>>> print(count)
{'sample': 1, 'text': 1, 'words': 1, 'repeated': 1}
"""
instruct prompt
Count the number of non-stop words in a given text.
The function should output with:
dict: A dictionary with the words (as keys) and their counts (as values).
You should write self-contained code starting with:
Code
import re
from collections import Counter
from nltk.corpus import stopwords
def task_func(text: str) -> dict:
code prompt
Code
import re
from collections import Counter
from nltk.corpus import stopwords
def task_func(text: str) -> dict:
entry point
task_func
libs
- nltk
- collections
- 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
5f3ceaaf-afe2-5ff6-b165-74595984b675- task_key
default--v0~2e1~2e0~5fhf--5f3ceaaf-afe2-5ff6-b165-74595984b675- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import