datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.MultiModalDataset
Dataset Card for MultiModal Dataset
Dataset Description
Dataset Summary
MultiModal Dataset is a curated collection of 85,000 samples spanning three modalities: text, images, and audio. It combines high-quality web content, image-caption pairs from COCO 2017, and audio samples from AudioSet to enable comprehensive multimodal model training and evaluation.
The dataset is organized into three subsets:
fineweb: 37,500 high-quality web text samples (>8… See the full description on the dataset page: https://huggingface.co/datasets/lv12/MultiModalDataset.gemma4-multimodal-recipe-dataset
🍳 Gemma 4 Multimodal Recipe & Food Dataset
A balanced, high-density multimodal dataset curated specifically for fine-tuning compact vision-language models (such as gemma-4-e2b-it) for visual food recognition, recipe generation, and dietary recommendation.
🔗 Upstream & Source Datasets
This dataset was created by cleaning, reformatting, and synthesizing samples across the following 5 Hugging Face sources:
Dataset
Modality
Role in Pipeline… See the full description on the dataset page: https://huggingface.co/datasets/alst10/gemma4-multimodal-recipe-dataset.