datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cyberseceval3-visual-prompt-injection
Dataset Card for CyberSecEval 3 - Visual Prompt Injection Benchmark
Dataset Details
Dataset Description
This dataset provides a multimodal benchmark for visual prompt injection, with text/image inputs. It is part of CyberSecEval 3, the third edition of Meta's flagship suite of security benchmarks for LLMs to measure cybersecurity risks and capabilities across multiple domains.
Language(s): English
License: MIT
Dataset Sources
Repository: Link… See the full description on the dataset page: https://huggingface.co/datasets/facebook/cyberseceval3-visual-prompt-injection.visual-qa-llama-format
Open Paws Visual Qa Llama Format
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Multimodal Data
Format: JSONL (JSON Lines)
Languages: Multilingual (primarily English)
Focus: Animal advocacy and ethical reasoning
Organization: Open Paws
License: Apache 2.0… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/visual-qa-llama-format.wikifragments-visual-arts-embeds
WikiFragments - Visual Arts Pages with Fragments (WikiFragmentsVA)
WikiFragmentsVA is a domain-specific multimodal dataset focused on the visual arts, derived from Wikipedia (en). It consists of textual paragraphs paired with related images (infoboxes and thumbnails), rendered as unified visual fragments. This dataset extends the base WikiFragments project by providing pre-rendered fragment images and multi-vector embeddings obtained via ColQwen2 v1.0, including optimized pooled… See the full description on the dataset page: https://huggingface.co/datasets/cilabuniba/wikifragments-visual-arts-embeds.synthux-visual-tree-0.1-beta
SynthUX Visual Computer-Use Trajectories
This dataset contains synthetic computer-use episodes generated by SynthUX and executed inside lightweight web desktop environments instead of full VMs.
Each episode has:
goal
instruction
tree: the concrete Node Tree-style grammar expansion with executable terminal affordance leaves
trajectory: observed simulator recording with input events, state observations, alignment, and media refs
rendered screenshots referenced from trajectory… See the full description on the dataset page: https://huggingface.co/datasets/jacob-valdez/synthux-visual-tree-0.1-beta.