A dataset for detecting arrogance in Bengali text, published on Kaggle. The dataset likely contains text samples labeled for arrogant sentiment or tone. Specifics on size, author, and creation date are not provided in the metadata.
Use Cases
- Train a text classifier to identify arrogant language in Bengali social media posts (inferred from domain, verify after download)
- Benchmark models for fine-grained sentiment analysis in low-resource languages (inferred from domain, verify after download)
- Study linguistic markers of arrogance and social bias in online Bengali discourse (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with established data sharing and versioning tools.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Row count, column definitions, and license are unknown, which limits suitability assessment.
- Data may reflect bias inherent to its unspecified collection source and method.