Table · dataset · 2026
vulr/M-QUEST
Listed in Hugging Face Datasets
Description
M-QUEST: Meme Question-Understanding Evaluation on Semantics and Toxicity Dataset Description M-QUEST (Meme Question-Understanding Evaluation on Semantics and Toxicity) is a multimodal benchmark designed to evaluate the ability of Vision-Language Models (VLMs) to understand and reason about meme content. Memes often combine visual information, textual content, cultural references, and implicit or contextual meaning. M-QUEST evaluates VLMs on their ability to… See the full description on the dataset page: huggingface.co/datasets/vulr/M-QUEST.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/vulr/M-QUEST ↗
landing page · from Hugging Face
Documentation and papers
- arXiv:2603.03315 arxiv.org/abs/2603.03315 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/vulr/M-QUEST ↗
metadata API · from Hugging Face
Topics
- Stated by source
- text
- From keywords
- Computer Science & AI
- Inferred from text
- Artificial intelligence 70%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | vulr/M-QUEST | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].anzsrc:group:4602 | enrichment · Hugging Face | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:text | source · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |