Telugu Clickbait Detection Dataset

Serving as for clickbait detection in Telugu, a resource-poor language. It was created by researchers for a 2021 IJCNN conference paper and published by author mounikaiiith.

Use Cases

• Train a text classification model to detect clickbait in Telugu language content.
• Benchmark NLP techniques for low-resource languages using the Telugu clickbait detection task.
• Analyze linguistic features specific to Telugu clickbait headlines or articles.

Strengths

• Dataset is associated with a peer-reviewed IEEE conference publication from 2021.
• Dataset is tagged for use with common libraries like pandas, polars, and datasets.

Limitations

• The dataset size, number of rows, and specific column structure are unknown.
• The dataset's temporal and geographic coverage are not specified.

Provenance

Source

huggingface

Collection Method

null

Time Range

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Freshness

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Geography

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