Modal
Datasets
All datasets matching “Modal”multi_task_multi_modal_knowledge_retrieval_benchmark_M2KR
PreFLMR M2KR Dataset Card
Dataset details
Dataset type:
M2KR is a benchmark dataset for multimodal knowledge retrieval. It contains a collection of tasks and datasets for training and evaluating multimodal knowledge retrieval models.
We pre-process the datasets into a uniform format and write several task-specific prompting instructions for each dataset. The details of the instruction can be found in the paper. The M2KR benchmark contains three types of tasks:… See the full description on the dataset page: https://huggingface.co/datasets/BByrneLab/multi_task_multi_modal_knowledge_retrieval_benchmark_M2KR.Multi-modal_dataset_named_SynthSoM
SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM)
📌 Overview
SynthSoM dataset covers eight rich and diverse application scenarios, including vehicle-road coordination, low-altitude economy, smart campus, as well as typical urban, suburban, rural, and campus environments. The urban scenario further includes intersections, ultra-wide lanes, elevated interchanges, and CBD areas; the suburban scenario… See the full description on the dataset page: https://huggingface.co/datasets/pku-pcni-lab/Multi-modal_dataset_named_SynthSoM.multi_task_multi_modal_knowledge_retrieval_benchmark_M2KR_CN
PreFLMR M2KR Dataset Card
Dataset details
Dataset type:
M2KR is a benchmark dataset for multimodal knowledge retrieval. It contains a collection of tasks and datasets for training and evaluating multimodal knowledge retrieval models.
We pre-process the datasets into a uniform format and write several task-specific prompting instructions for each dataset. The details of the instruction can be found in the paper. The M2KR benchmark contains three types of tasks:… See the full description on the dataset page: https://huggingface.co/datasets/BByrneLab/multi_task_multi_modal_knowledge_retrieval_benchmark_M2KR_CN.MixBench25MixBench is a benchmark for evaluating mixed-modality retrieval. It contains queries and corpora from four datasets: MSCOCO, Google_WIT, VisualNews, and OVEN. Each subset provides: query, corpus, mixed_corpus, and qrel splits.Multi-modal_dataset_for_Multi-Vehicle_Sensing_Aided_Precoding
Dataset for "SoM-Aided FDD Precoding with Sensing Heterogeneity: A Vertical Federated Learning Approach"
📌 Overview
This dataset is constructed based on the triangular block scenario in the M3SC dataset, including CSI data between the roadside unit and seven passing vehicles, downlink received signal data of vehicles, 64-line LiDAR point cloud data collected by vehicles, RGB image data collected by vehicles, and GPS positioning data of vehicles. The above-mentioned… See the full description on the dataset page: https://huggingface.co/datasets/pku-pcni-lab/Multi-modal_dataset_for_Multi-Vehicle_Sensing_Aided_Precoding.SAE_activations_modal_sentences