Datasets:

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Toygar

/

turkish-offensive-language-detection

like 14

Retrieves non-offensive text entries with a label of 0, effectively filtering out profanity and offensive language, and provides a sample of clean data for analysis.

The query filters and retrieves text entries with label 0, excluding those containing offensive or specific words, providing a basic filtered view of the data.

The query retrieves a limited number of toxic or offensive text entries flagged by specific keywords, which is useful for basic filtering and understanding the distribution of such language in the dataset.

Retrieves comments labeled as 1 that contain a variety of offensive words, useful for identifying patterns in abusive content but limited in broader analytical value.

This query filters out offensive or insulting words from texts labeled as 1, which is useful for cleaning the dataset but does not provide significant analytical insight.

Counts the number of positive labeled posts that do not contain any of the specified offensive words, providing a basic filter for cleaning or analyzing positive sentiment data.

This query filters out offensive content from text entries with a label of 1, providing basic filtering of data but not revealing any significant patterns or insights.

Filters out offensive and inappropriate comments labeled as positive, returning less than unfiltered positive comments that don't include a list of offensive words.

The query filters out offensive words from texts with label 1, providing a cleaned set of data, but does not offer deeper insights or patterns.

Returns rows from the train dataset where the label is 1 and the text contains any of a set of offensive words, providing a basic filter of labeled offensive content.