datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
jat-dataset
JAT Dataset
Dataset Description
The Jack of All Trades (JAT) dataset combines a wide range of individual datasets. It includes expert demonstrations by expert RL agents, image and caption pairs, textual data and more. The JAT dataset is part of the JAT project, which aims to build a multimodal generalist agent.
Paper: https://huggingface.co/papers/2402.09844
Usage
>>> from datasets import load_dataset
>>> dataset =… See the full description on the dataset page: https://huggingface.co/datasets/jat-project/jat-dataset.seedance-2-prompts-datasets
🎞️ Seedance-2-prompts-datasets
🎞️ The ultimate Seedance-2 video prompt dataset (50GB+). 8100+ video generation prompts with full metadata and preview frames. Truly open source: No login, no ads, no redirection. Just pure data for AI video creators.
This project is a massive collection of prompts used for Bytedance's Seedance 2.0 and the resulting generated videos. The entire dataset exceeds 50GB and contains 8100+ videos, all structured into a comprehensive dataset.
Due… See the full description on the dataset page: https://huggingface.co/datasets/GokuScraper/seedance-2-prompts-datasets.LLaVA-OneVision-2-Data
LLaVA-OneVision-2-Data
Training data for the LLaVA-OneVision-2 multimodal model family. The release contains large-scale video data at several duration ranges, video captions and source mappings, and spatial-reasoning data used for mid-training.
At a Glance
The dataset is split across two Hugging Face repositories because of its size:
Repository
What it contains
Part 1 (this repository)
~60-second video shards, captions for all duration ranges… See the full description on the dataset page: https://huggingface.co/datasets/mvp-lab/LLaVA-OneVision-2-Data.mesh4d_datasetdatacomp200m
Datacomp200m
This is a smaller version of the datacomp_1b dataset.
Filtering was done by taking all rows that had self similarity (inner product) above 0.32. This resulted in 213009083 (213 million) rows.
The results of the datacomp paper suggest that filtering by CLIP score is better than random sampling.
Included in this repo are search indices created using autofaiss, over the text and image embeddings. There are two ways to access metadata, either in .parquet files in the… See the full description on the dataset page: https://huggingface.co/datasets/adams-story/datacomp200m.datacomp_pools
DataComp Pools
This repository contains metadata files for DataComp. For details on how to use the metadata, please visit our website and our github repository.
We distribute the image url-text samples and metadata under a standard Creative Common CC-BY-4.0 license. The individual images are under their own copyrights.
Terms and Conditions
We have terms of service that are similar to those adopted by HuggingFace (https://huggingface.co/terms-of-service), which covers… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations/datacomp_pools.gpt-image-2-prompts-datasets
🖼️ GPT Image 2 Prompt Dataset
🖼️ The ultimate GPT Image 2 prompt dataset (5GB+). 15,000+ image generation prompts with full metadata and preview images. Truly open source: No login, no ads, no redirection. Just pure data for AI image creators.
This project is a massive collection of prompts used for OpenAI's GPT Image 2 model and the resulting generated images. The entire dataset exceeds 5GB and contains 15,000+ images, all structured into a comprehensive dataset.
Due to… See the full description on the dataset page: https://huggingface.co/datasets/Goku-OpenLab/gpt-image-2-prompts-datasets.LLaVA-OneVision-1.5-Instruct-Data
LLaVA-OneVision-1.5 Instruction Data
Paper | Code
📌 Introduction
This dataset, LLaVA-OneVision-1.5-Instruct, was collected and integrated during the development of LLaVA-OneVision-1.5. LLaVA-OneVision-1.5 is a novel family of Large Multimodal Models (LMMs) that achieve state-of-the-art performance with significantly reduced computational and financial costs. This meticulously curated 22M instruction dataset (LLaVA-OneVision-1.5-Instruct) is part of a… See the full description on the dataset page: https://huggingface.co/datasets/mvp-lab/LLaVA-OneVision-1.5-Instruct-Data.Honey-Data-15M
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
[🏠 Homepage] [📖 Arxiv Paper] [🤗 Models & Datasets] [💻 Code]
Introduction
We introduce Bee-8B, a new state-of-the-art, fully open 8B Multimodal Large Language Model (MLLM) designed to close the performance gap with proprietary models by focusing on data quality.
Bee-8B is trained on our new Honey-Data-15M corpus, a high-quality supervised fine-tuning (SFT) dataset of approximately 15… See the full description on the dataset page: https://huggingface.co/datasets/Open-Bee/Honey-Data-15M.ai4g-flood-dataset
Flood Detection Dataset
Introduction
This dataset accompanies the paper Mapping global floods with 10 years of satellite radar data (Nature Communications, 2025) and contains global flood detections derived from Sentinel-1 Synthetic Aperture Radar (SAR) imagery using a deep learning change detection model. The dataset spans October 2014 – September 2024, offering a longitudinal view of flood-prone areas worldwide.
Key features:
Cloud-penetrating SAR data for consistent… See the full description on the dataset page: https://huggingface.co/datasets/ai-for-good-lab/ai4g-flood-dataset.datadatacomp_xlarge
DataComp XLarge Pool
This repository contains metadata files for the xlarge pool of DataComp. For details on how to use the metadata, please visit our website and our github repository.
We distribute the image url-text samples and metadata under a standard Creative Common CC-BY-4.0 license. The individual images are under their own copyrights.
Terms and Conditions
We have terms of service that are similar to those adopted by HuggingFace… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations/datacomp_xlarge.DataCompDR-1B
Dataset Card for DataCompDR-1B
This dataset contains synthetic captions, embeddings, and metadata for DataCompDR-1B.
The metadata has been generated using pretrained image-text models on DataComp-1B.
For details on how to use the metadata, please visit our github repository.
Dataset Details
Dataset Description
DataCompDR is an image-text dataset and an enhancement to the DataComp dataset.
We reinforce the DataComp dataset using our multi-modal… See the full description on the dataset page: https://huggingface.co/datasets/apple/DataCompDR-1B.PPTAgent-parsed_dataRGB-Event-ISP-DatasetCRA5-Dataset
Climate science data can be compressed efficiently by dual-stage extreme compression with a variational auto-encoder transformer
Introduction and get started
CRA5 dataset now is available at OneDrive
Paper Summary
We introduce VAEformer, a variational autoencoder transformer designed for the extreme compression of climate data. Addressing the storage challenges of massive datasets like ERA5, VAEformer utilizes a… See the full description on the dataset page: https://huggingface.co/datasets/taohan10200/CRA5-Dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/huggingface/CADS-dataset.nerf-gs-datasetsI keep a collection compiled of existing datasets from various sources for training NeRFs or Splats. This dataset is most of that collection. All of the individual scenes also have a trained Gaussian Splat.
https://rishit-dagli.github.io/2025/03/28/nerf-gs-datasets.html
EO-Data1.5M
🤖 EO-Data-1.5M
A Large-Scale Interleaved Vision-Text-Action Dataset for Embodied AI
The first large-scale interleaved embodied dataset emphasizing temporal dynamics and causal dependencies among vision, language, and action modalities.
📊 Dataset Overview
EO-Data-1.5M is a massive, high-quality multimodal embodied reasoning dataset designed for training generalist robot… See the full description on the dataset page: https://huggingface.co/datasets/IPEC-COMMUNITY/EO-Data1.5M.LLaVA-OneVision-Data
Dataset Card for LLaVA-OneVision
[2024-09-01]: Uploaded VisualWebInstruct(filtered), it's used in OneVision Stage
almost all subsets are uploaded with HF's required format and you can use the recommended interface to download them and follow our code below to convert them.
the subset of ureader_kg and ureader_qa are uploaded with the processed jsons and tar.gz of image folders.
You may directly download them from the following url.… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data.cocoffhq-datasetFlickr-Faces-HQ Dataset (FFHQ) dataset: https://github.com/NVlabs/ffhq-dataset
The dataset consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity and image background.
It also has good coverage of accessories such as eyeglasses, sunglasses, hats, etc. The images were crawled from Flickr, thus inheriting all the biases of that website, and automatically aligned and cropped using dlib.
Only images under permissive… See the full description on the dataset page: https://huggingface.co/datasets/marcosv/ffhq-dataset.nano-banana-pro-prompts-datasets
🖼️ Nano Banana Pro Prompt Dataset
🖼️ The ultimate Nano Banana Pro prompt dataset (6GB+). 26,000+ image generation prompts with full metadata and preview images. Truly open source: No login, no ads, no redirection. Just pure data for AI image creators.
This project is a massive collection of prompts used for Nano Banana Pro AI image model and the resulting generated images. The entire dataset exceeds 6GB and contains 26,000+ images, all structured into a comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/Goku-OpenLab/nano-banana-pro-prompts-datasets.MolmoAct-DatasetThis dataset was created using LeRobot.
Dataset Description
This dataset contains MolmoAct Dataset in lerobot format. All contents in this dataset were collected in-house by Ai2.
Quick links:
📂 All Models
📂 All Data
📃 Paper
🎥 Blog Post
🎥 Video
Code
License and Use
This dataset is licensed under CC BY-4.0. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
Citation
@misc{molmoact2025… See the full description on the dataset page: https://huggingface.co/datasets/allenai/MolmoAct-Dataset.mv2-dataset
MV2 Dataset
MV2 is a multi-view and multi-vehicle urban driving dataset designed for research in novel view synthesis, neural rendering, 3D reconstruction, cross-view scene understanding, and autonomous-driving perception. The dataset contains synchronized image sequences captured from multiple viewpoints, including ground vehicles and aerial views, along with camera parameters required for geometry-aware learning and rendering.
The dataset is released for academic and research… See the full description on the dataset page: https://huggingface.co/datasets/sanjay810/mv2-dataset.LongE2V-data
LongE2V Dataset
This repository contains the preprocessed dataset (including BS-ERGB, ECD, MVSEC, and HQF) for LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models (SIGGRAPH 2026).
Project Page | Paper | GitHub Repository
Dataset Description
LongE2V is a unified video diffusion framework that reconstructs high-quality, stable, and temporally coherent videos from sparse event streams. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/fansam39/LongE2V-data.Open-Qwen2VL-Data
Introduction
This repository contains the data for Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources.
Project page: https://victorwz.github.io/Open-Qwen2VL
Code: https://github.com/Victorwz/Open-Qwen2VL
Dataset
ccs_ebdataset: CC3M-CC12M-SBU filtered by CLIP, we directly download the webdataset based on the released of curated subset of BLIP-1
datacomp_medium_dfn_webdataset: DataComp-Medium-128M filtered by DFN, we… See the full description on the dataset page: https://huggingface.co/datasets/weizhiwang/Open-Qwen2VL-Data.fashion_mnist
Dataset Card for FashionMNIST
Dataset Summary
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing… See the full description on the dataset page: https://huggingface.co/datasets/zalando-datasets/fashion_mnist.KAIST-Multispectral-Pedestrian-Detection-DatasetObjEarth-Data
Domains
序号
无人机 Domain
领域定位
典型检测目标
典型应用
核心输出 / 特点
1
农林牧业与生态监测
检测自然环境中的生物目标及农业生产对象
农作物、果实、花朵、植株缺苗、倒伏作物、杂草牛、羊等牲畜野生动物、鸟类病树、枯死树、倒伏树木农业机械、作业人员
作物株数和果实数量统计缺苗、杂草和倒伏区域发现牲畜自动盘点和走失牲畜搜索野生动物检测、跟踪和数量调查森林病树、枯死树和风倒木识别农林区域非法人员或车辆检测
目标类别目标数量目标位置目标密度变化趋势
2
能源、工业与基础设施巡检
将电力、油气、工厂、桥梁、道路等统一归入资产和设施巡检
输电杆塔、导线、绝缘子、金具鸟巢、异物、悬挂物光伏组件、热斑组件风机叶片、裂纹及表面损伤管道、阀门、储罐、烟囱桥梁构件、道路设施、铁路设备裂缝、锈蚀、破损、脱落设备热点、泄漏点和异常部件
电力线路异物和缺陷检测绝缘子、连接件和杆塔部件检测光伏板热斑及故障组件定位风机叶片损伤检测油气管线和工业设备异常检测桥梁、道路、铁路设施缺陷识别设备缺失、错位或损坏检测… See the full description on the dataset page: https://huggingface.co/datasets/ObjEarth/ObjEarth-Data.