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Russian News Clickbait Classification Data
News & Media Articles
Tags and Keywords
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About
The data contains a collection of Russian news headlines classified as either clickbait or non-clickbait. This resource was compiled specifically to facilitate research and development in Natural Language Processing (NLP), enabling users to build and test models focused on text classification. The news articles were gathered over several recent months.
Columns
- titles: The raw text of the news headlines, primarily in Russian. This column contains 3198 entries.
- target: The binary classification label indicating whether the headline is clickbait (1) or non-clickbait (0).
Distribution
The data is provided in a standard CSV file format, named
titles_data.csv. The file size is approximately 397.96 kB and contains two primary columns. The expected update frequency for this dataset is annually.Usage
This data is highly suitable for training machine learning algorithms focused on textual analysis. Ideal applications include creating models for text classification, experimenting with various NLP techniques, and studying linguistic patterns associated with sensationalism in news media. It is useful for projects related to Hugging Face models and general data analytics.
Coverage
The data covers news articles sourced from various Russian news websites. The collection period spans the last few months prior to the dataset's creation. The focus is on Russian-language headlines.
License
Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
Who Can Use It
- Data Scientists: Building robust binary text classification models.
- Academics/Researchers: Studying media bias and the characteristics of clickbait within non-English language contexts.
- NLP Developers: Validating and refining parsing scripts (such as
parser_titles.py) and text processing pipelines.
Dataset Name Suggestions
- Russian News Clickbait Classification Data
- RU Headline NLP Corpus
- Clickbait Titles Text Collection
- News Title Classification Resource
Attributes
Original Data Source: Russian News Clickbait Classification Data
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