benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 604120ff-36df-5018-837a-8b5c578fe1a1
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
def task_func(data=None):
"""
Pre-process a dataset by converting it to a Pandas DataFrame,
replacing values less than 0.5 with zeros, and
standardizing the data using StandardScaler.
Parameters:
- data (numpy.ndarray, optional): A numpy array representing the dataset. If not provided, a random dataset
of shape (100, 5) is generated.
Returns:
- pandas.DataFrame: The preprocessed dataset. Original values less than 0.5 are replaced with zeros, and the
entire dataset is standardized.
Requirements:
- numpy
- pandas
- sklearn.preprocessing.StandardScaler
Example:
>>> np.random.seed(0)
>>> dataset = np.random.rand(10, 5)
>>> preprocessed_data = task_func(dataset)
>>> preprocessed_data.head(2)
0 1 2 3 4
0 0.175481 1.062315 0.244316 -0.17039 -0.647463
1 0.461851 -0.978767 1.052947 1.06408 -0.647463
"""
instruct prompt
Pre-process a dataset by converting it to a Pandas DataFrame, replacing values less than 0.5 with zeros, and standardizing the data using StandardScaler.
The function should output with:
pandas.DataFrame: The preprocessed dataset. Original values less than 0.5 are replaced with zeros, and the
entire dataset is standardized.
You should write self-contained code starting with:
Code
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
def task_func(data=None):
code prompt
Code
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
def task_func(data=None):
entry point
task_func
libs
- pandas
- numpy
- sklearn
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
604120ff-36df-5018-837a-8b5c578fe1a1- task_key
default--v0~2e1~2e0~5fhf--604120ff-36df-5018-837a-8b5c578fe1a1- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import