Demo Multimodal Sarcasm Dataset for NLP and Computer Vision Tasks

A demonstration dataset for sarcasm detection, likely containing multimodal data such as text and images. It is hosted on Kaggle, but specific details about its size, creation date, and authors are not provided in the metadata. The dataset's content and structure require verification after download.

Use Cases

• Train a multimodal model for sarcasm detection in online content (inferred from domain, verify after download)
• Benchmark computer vision and NLP fusion techniques on sentiment-related tasks (inferred from domain, verify after download)
• Study the relationship between textual and visual cues in conveying sarcasm (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with an active community for data sharing and discussion.
• Focuses on the complex and relevant task of multimodal sarcasm detection.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, which may limit suitability assessment.
• License and author information are unknown, affecting reproducibility and usage rights.

Provenance

Source

Kaggle