multimodal data
multimodal_data_annotator_datasetMaterials dataset consisting of spatial and time resolved versions of the same object. Specially curated for the annotator such that for each object, time resolved signal may be viewed alongside the RGB and for different graphs/forms
Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-ForecastingThe sp500stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 4,213 S&P 500 stocks.
The hs300stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 858 HS 300 stocks.
If you find our research helpful, please cite our paper:
@article{xu2025finmultitime,
title={FinMultiTime: A Four-Modal Bilingual Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Wenyan0110/Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-Forecasting.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.propagator-multimodal-pretraining-data
Propagator Multimodal Pretraining Data
This public dataset contains tokenized multimodal pretraining data prepared for the Propagator model family. It combines language, image-grounded, and speech/audio-token examples into a single training format.
This is not a raw text or image browsing dataset. The examples have already been converted into compact binary token frames for model training, with a manifest that records the source groups and file layout.
Source Code… See the full description on the dataset page: https://huggingface.co/datasets/ken-sungmin/propagator-multimodal-pretraining-data.CADBench-Extended-Multimodal-Dataset
Dataset Card
Dataset Description
CADBench Extended Multimodal Dataset is an independently produced public extension for multimodal CAD reconstruction research. It contains 100 CAD samples with clean and perturbed meshes, STEP/STL/OBJ/GLB representations, single-view and four-view renders, PBR images, bilingual descriptions, prompt variants, QA, geometry metadata, grading signals, and manually reviewed visual semantics.
Tasks: image-to-text, text-to-image… See the full description on the dataset page: https://huggingface.co/datasets/LianeMarilin/CADBench-Extended-Multimodal-Dataset.SEVENLLM-Dataset
Introduce
We provided, designed for analyzing cybersecurity incidents, which is comprised of two primary task categories: understanding and generation, with a further breakdown into 28 subcategories of tasks.
The dataset is in question and answer format, using structured json format for understanding tasks and unstructured text format for generation tasks.
We also provide some multiple-choice questions to test the cognitive ability of the model in different vertical fields.… See the full description on the dataset page: https://huggingface.co/datasets/Multilingual-Multimodal-NLP/SEVENLLM-Dataset.