2,030 memes form a fine-grained extension of the Hateful Memes dataset, annotated for nuanced analysis of harmful content. It was created by nils-herrmann and last updated on 2026-04 08. The dataset introduces annotation dimensions for incivility and intolerance beyond binary hatefulness.
Use Cases
- Training models for fine-grained hate speech classification based on multimodal meme content.
- Analyzing the relationship between incivility and intolerance in harmful online content.
- Benchmarking multimodal AI systems on nuanced annotation tasks beyond binary labels.
- Studying annotator agreement and subjectivity in labeling harmful memes.
Strengths
- Provides 2,030 annotated multimodal examples for analysis.
- Each meme was annotated independently by three annotators, which may allow for reliability assessment.
- Extends a widely used benchmark with finer-grained labels for incivility and intolerance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is known, but the total dataset size and file formats are unspecified.
- Data may reflect bias inherent to the source platform and the original meme collection.
Provenance
- Source
- huggingface
- Collection Method
- Subset of the Hateful Memes dataset with additional fine-grained annotations.
- Time Range
- null
- Freshness
- Last updated 2026-04-08 12:29:26; freshness should be verified.
- Geography
- null