datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
regionreasoner_dataL-Mind
L-Mind: A Multimodal Dataset for Neural-Driven Image Editing
This dataset is part of the NeurIPS 2025 paper: "Neural-Driven Image Editing", which introduces LoongX, a hands-free image editing approach driven by multimodal neurophysiological signals.
📄 Overview
L-Mind is a large-scale multimodal dataset designed to bridge Brain-Computer Interfaces (BCIs) with generative AI. It enables research into accessible, intuitive image editing for individuals with limited motor… See the full description on the dataset page: https://huggingface.co/datasets/Lance1573/L-Mind.LMOD-Cataract-1K-surgical-analysis-cot
Cataract-1K LLM-Generated Surgical Instructions
Dataset Overview
This dataset is derived from the Cataract-1K dataset (part of the LMOD benchmark) and enhanced using Qwen3-VL-30B-A3B-Thinking, a large vision-language model with reasoning capabilities. It is designed for training medical AI systems to provide actionable surgical guidance with transparent reasoning.
Generation Process
Source Data: Cataract-1K processed frames with segmentation annotations… See the full description on the dataset page: https://huggingface.co/datasets/mehti/LMOD-Cataract-1K-surgical-analysis-cot.L-Mind
L-Mind: A Multimodal Dataset for Neural-Driven Image Editing
This dataset is part of the NeurIPS 2025 paper: "Neural-Driven Image Editing", which introduces LoongX, a hands-free image editing approach driven by multimodal neurophysiological signals.
📄 Overview
L-Mind is a large-scale multimodal dataset designed to bridge Brain-Computer Interfaces (BCIs) with generative AI. It enables research into accessible, intuitive image editing for individuals with limited motor… See the full description on the dataset page: https://huggingface.co/datasets/wang124/L-Mind.