datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
VISION_LANGUAGEA key question for understanding multimodal vs. language capabilities of models is what is
the relative strength of the spatial reasoning and understanding in each modality, as spatial understanding is
expected to be a strength for multimodality? To test this we created a procedurally generatable, synthetic dataset
to testing spatial reasoning, navigation, and counting. These datasets are challenging and by
being procedurally generated new versions can easily be created to combat the effects… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/VISION_LANGUAGE.calame-pt
CALAME-PT
Context-Aware LAnguage Modeling Evaluation for Portuguese
CALAME-PT is a PT benchmark composed of small texts (contexts) and their respective last words.
These contexts should, in theory, contain enough information so that a human or a model is capable of guessing its last word - without being too specific and/or too ambiguous.
Composition
CALAME-PT is composed of 2 "sets" of data - handwritten and generated.
Handwritten Set: contains 406… See the full description on the dataset page: https://huggingface.co/datasets/NOVA-vision-language/calame-pt.visionlanguagemodelogmultimodal-vision-language-video-models-2026
👁️ Multimodal Vision-Language & Video Foundation Models Dataset (2026 Edition)
A structured research dataset featuring 1,000 domain-verified research papers and code repositories focused on Multimodal Vision-Language Models (VLM), Video Foundation Models, Diffusion Transformers (DiT), Visual Grounding, and World Simulators.
Built with Universal Scientific Engine V15.1 Gold, providing 47 schema attributes with verified repository attribution, modality capability matrix, vision… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/multimodal-vision-language-video-models-2026.MSCOCO_PT-BRLanguage-Vision-Hallucinations
Dataset for Techen Project 095280
A comprehensive dataset for the Techen Project, focused on examining hallucinations in multi-modal AI-generated text by investigating model uncertainty, text generation patterns, and linguistic factors.
Columns Overview
image_link: URL to the image associated with each data row.
temperature: Temperature setting for text generation, controlling output randomness.
description: Text generated by the model for each image, using the… See the full description on the dataset page: https://huggingface.co/datasets/wrom/Language-Vision-Hallucinations.vision-language-action-papers
Vision-Language-Action (VLA) & Robot Learning Papers — FineSet
A research-paper dataset on Vision-Language-Action (VLA) & Robot Learning Papers, assembled, deduplicated, and quality-scored by
FineSet from arXiv and Semantic Scholar.
📸 This is a dated snapshot — generated 2026-06-19.
It is not auto-updated. Research on Vision-Language-Action (VLA) & Robot Learning Papers moves fast — new papers land on arXiv every
week. Want this same dataset refreshed daily, on a topic you… See the full description on the dataset page: https://huggingface.co/datasets/fineset-io/vision-language-action-papers.VisualDialogue_PT-BR