MulTaBench: Facebook Hateful Meme Classification Dataset

MulTaBench is a dataset for hateful meme classification, hosted on Kaggle. The dataset likely contains images and text from Facebook posts, designed for multimodal machine learning tasks. Its specific scale, creation details, and update history are not provided in the available metadata.

Use Cases

• Train a multimodal classifier to detect hateful content in memes (inferred from domain, verify after download)
• Benchmark vision-language models on social media safety tasks (inferred from domain, verify after download)
• Analyze the relationship between image and text in harmful online content (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.
• Platform tags indicate a focus on Computer Vision, suggesting relevant domain alignment.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, which may limit suitability assessment.
• Data may reflect the bias inherent to its source platform and collection method.

Provenance

Source

Kaggle

Collection Method

Collection method is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.