benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 6cbfe508-0389-5103-ab19-66a777fd879a
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import os
import json
from collections import Counter
def task_func(json_dir_path, word_count):
"""
Analyze text content in JSON files from a given directory and find the most common words.
This function reads all the JSON files in the specified directory, extracts the text content from each file,
and determines the most frequent words. It then returns a list of the specified number of the most common words
and their respective counts.
Parameters:
json_dir_path (str): The directory path where JSON files are stored.
word_count (int): The number of most common words to return.
Returns:
list: A list of tuples with the most common words and their counts.
Requirements:
- pandas
- os
- json
- collections.Counter
Example:
>>> import tempfile
>>> fake_data_1 = {"text": "Top visit morning price certainly indicate time. Figure add cold behind customer also."}
>>> fake_data_2 = {"text": "Itself to current listen. Cover add will feeling head. Perform family affect reduce political general."}
>>> temp_dir = tempfile.TemporaryDirectory()
>>> with open(f"{temp_dir.name}/fake_data_1.json", 'w') as f:
... json.dump(fake_data_1, f)
>>> with open(f"{temp_dir.name}/fake_data_2.json", 'w') as f:
... json.dump(fake_data_2, f)
>>> task_func(temp_dir.name, 2)
[('add', 2), ('Top', 1)]
"""
instruct prompt
Analyze text content in JSON files from a given directory and find the most common words. This function reads all the JSON files in the specified directory, extracts the text content from each file, and determines the most frequent words. It then returns a list of the specified number of the most common words and their respective counts.
The function should output with:
list: A list of tuples with the most common words and their counts.
You should write self-contained code starting with:
Code
import pandas as pd
import os
import json
from collections import Counter
def task_func(json_dir_path, word_count):
code prompt
Code
import pandas as pd
import os
import json
from collections import Counter
def task_func(json_dir_path, word_count):
entry point
task_func
libs
- pandas
- collections
- json
- os
Discussion
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Source and history
- task_id
6cbfe508-0389-5103-ab19-66a777fd879a- task_key
default--v0~2e1~2e0~5fhf--6cbfe508-0389-5103-ab19-66a777fd879a- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import