datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dpchallenge
DPChallenge Photo Metadata Dataset
Dataset Description
This dataset contains metadata and statistics from DPChallenge, a photography community platform where photographers participate in themed challenges and receive peer ratings.
Key Features:
Valuable Human Labels: Contains human-scored quality ratings from multiple rater groups (all users, commenters, participants, non-participants)
Collection Date: Dec 2025
Data Quality:
Only includes images with complete… See the full description on the dataset page: https://huggingface.co/datasets/iamkaikai/dpchallenge.dallestreet
Citation Information
@misc{mukherjee2024crossroadscontinentsautomatedartifact,
title={Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models},
author={Anjishnu Mukherjee and Ziwei Zhu and Antonios Anastasopoulos},
year={2024},
eprint={2407.02067},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2407.02067},
}
viet-cultural-vqa
🇻🇳 Vietnamese Cultural VQA Dataset
📖 Dataset Description
The Vietnamese Cultural VQA Dataset is a comprehensive multimodal dataset designed for Visual Question Answering (VQA) tasks focused on Vietnamese cultural heritage. This dataset aims to bridge the gap in understanding and preserving Vietnamese culture through AI-powered visual understanding and question answering.
🎯 Dataset Summary
📊 Total Images: 28,505 high-quality cultural images
💬 Total… See the full description on the dataset page: https://huggingface.co/datasets/IAmFuch/viet-cultural-vqa.IADBE_Custom_Dataset
📘 Custom Dataset
Custom dataset provides both anomalib and YOLO format datasets.
You can import it with the Huggingface way, or just clone it from GitHub and download it to your local machine. How to use the IADBE platform, check details here.
Use Huggingface
from datasets import load_dataset
ds = load_dataset("gt111lk/IADBE_Custom_Dataset")
Use Git Clone
git clone https://huggingface.co/datasets/gt111lk/IADBE_Custom_Dataset
unlabelled_IA_with_snorkel_labels
Historic book pages illustration weak annotations
OpenJev-Vision-Research-v0.1
OpenJev Vision Research v0.1
12,832 image records, with public provenance, original synthetic scenes,
and programmatically derived decision questions.
This is an experimental research dataset for visual posterior learning and
compositional decisions, released with OpenJev.
It is not a reproduction of TypeSafe's proprietary Jev model or training method.
Three separate configurations
Config
Images
What the labels mean
License
synthetic
8,192
Exact… See the full description on the dataset page: https://huggingface.co/datasets/IamBusy/OpenJev-Vision-Research-v0.1.