Team Ai
20 results

MLLM

lingshu-medical-mllm /lingshu_training_data_medical_domain Website &nbsp;&nbsp; 🤖 7B Model &nbsp;&nbsp; 🤖 8B Model based on InternVL3 &nbsp;&nbsp; 🤖 32B Model &nbsp;&nbsp; MedEvalKit &nbsp;&nbsp; Technical Report &nbsp;&nbsp; Lingshu MCP Lingshu Medical MLLM Training Data (Medical Domain) This dataset contains the medical-domain training data used in the multi-stage training of the Lingshu Medical Multimodal Large Language Model (MLLM). General-domain data has been removed; only medical data is included. The training… See the full description on the dataset page: https://huggingface.co/datasets/lingshu-medical-mllm/lingshu_training_data_medical_domain.textimage-to-text100M<n<1B8 likes6.5k downloads1mo agoHugging FacemllmTeam /MobileViews 🚀 MobileViews: A Large-Scale Mobile GUI Dataset MobileViews is a large-scale dataset designed to support research on mobile agents and mobile user interface (UI) analysis. The first release, MobileViews-600K, includes over 600,000 mobile UI screenshot-view hierarchy (VH) pairs collected from over 20,000 apps on the Google Play Store. This dataset is based on the DroidBot, which we have optimized for large-scale data collection, capturing more comprehensive interaction details while… See the full description on the dataset page: https://huggingface.co/datasets/mllmTeam/MobileViews.question-answering45 likes2.5k downloads2y agoHugging FaceEchoSafe-MLLM /MM-SafetyBench-plus-plus MM-SafetyBench++ Project Page | Paper | Code MM-SafetyBench++ is a benchmark designed for evaluating contextual safety in Multi-Modal Large Language Models (MLLMs). It challenges models to distinguish subtle contextual differences between scenarios that may appear visually or textually similar but diverge significantly in safety intent. Dataset Summary For each unsafe image-text pair, the benchmark includes a corresponding safe counterpart created through minimal… See the full description on the dataset page: https://huggingface.co/datasets/EchoSafe-MLLM/MM-SafetyBench-plus-plus.imageimage-text-to-text1K<n<10K2 likes1.9k downloads7mo agoHugging FaceLogics-MLLM /Logics-STEM-SFT-Dataset-Open-1.6M Logics-STEM-SFT-Dataset-2.2M 📰 News [2026.01.05]🔥 Release of our Techinical Report. [2026.01.05]🔥 Release the first version of Logics-STEM-8B-SFT, Logics-STEM-8B-RL, /Logics-STEM-SFT-Dataset-Open-1.6M. Overview What is this dataset? Logics-STEM-SFT-Dataset-2.2M is a curated long Chain-of-Thought (CoT) SFT dataset for STEM reasoning, built on top of high-quality open-source data and enhanced through a rigorous curation and distillation… See the full description on the dataset page: https://huggingface.co/datasets/Logics-MLLM/Logics-STEM-SFT-Dataset-Open-1.6M.text1M<n<10M33 likes1.8k downloads9mo agoHugging Facezr-zhang /MLLM-Generated-Image-Detection-Dataset MLLM-Generated Image Dataset This dataset contains real and AI-generated image samples organized for binary MLLM-generated image detection. Paper | Code Dataset Summary We construct an MLLM-generated image detection benchmark from GPT Image2 and Nano Banana2. This benchmark covers texture-dominated, structure-dominated, and hybrid-dominated. It is designed to evaluate detector performance under the new challenges introduced by large-scale image generation models.… See the full description on the dataset page: https://huggingface.co/datasets/zr-zhang/MLLM-Generated-Image-Detection-Dataset.imageimage-classification1K<n<10K1 likes1.6k downloads2mo agoHugging FaceMLLM-CL /CL-VISTA MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark ✨Introduction • 🥇 Methods Provided • 🏦 Benchmarks • 🎨 Models 🏃 How to run • 🤝 Acknowledgments • 🙂 Contact If you like our project, please give us a star ⭐ on GitHub for the latest updates. ✨ Introduction MCITlib is a unified library for continual instruction tuning of multimodal large language models (MLLMs). It integrates diverse continual learning methods into a… See the full description on the dataset page: https://huggingface.co/datasets/MLLM-CL/CL-VISTA.text100K<n<1M1 likes1.5k downloads5mo agoHugging Face