fetch_toxicity#
- skrub.datasets.fetch_toxicity(data_home=None)[source]#
Fetch the toxicity dataset (classification) available at skrub-data/skrub-data-files
This is a balanced binary classification use-case, where the single table consists in only two columns: - text: the text of the comment - is_toxic: whether or not the comment is toxic
- Parameters:
- data_home: str or path, default=None
The directory where to download and unzip the files.
- Returns:
- bunchsklearn.utils.Bunch
A dictionary-like object with the following keys:
toxicity : pd.DataFrame, the dataframe
X : pd.DataFrame, features, i.e. the dataframe without the target labels
y : pd.DataFrame, target labels
metadata : a dictionary containing the name, description, source and target
Gallery examples#
Various string encoders: a sentiment analysis example
Various string encoders: a sentiment analysis example