datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
genhome3d-1280
GenHome3D-1280
1,280 validated household and spatial-design assets in USDZ format, organized
across 64 categories.
Explore the visual catalog ·
Browse the GitHub repository ·
Download the versioned release ·
Read the generation method
Dataset summary
Assets
1,280
Categories
64
Assets per category
20
Runtime format
USDZ
Units
Meters
Asset license
CC BY 4.0
Technical validation
1,280/1,280 pass
Package validation
1… See the full description on the dataset page: https://huggingface.co/datasets/linxy97/genhome3d-1280.generalization-science-dataDNA_Gen
Citation
Please cite our work using the bibtex below:
BibTeX:
@article{su2025language,
title={Language Models for Controllable DNA Sequence Design},
author={Su, Xingyu and Li, Xiner and Lin, Yuchao and Xie, Ziqian and Zhi, Degui and Ji, Shuiwang},
journal={arXiv preprint arXiv:2507.19523},
year={2025}
}
showdown-clicks
showdown-clicks
General Agents
🤗 Dataset | GitHub
showdown is a suite of offline and online benchmarks for computer-use agents.
showdown-clicks is a collection of 5,679 left clicks of humans performing various tasks in a macOS desktop environment. It is intended to evaluate instruction-following and low-level control capabilities of computer-use agents.
As of March 2025, we are releasing a subset of the full set, showdown-clicks-dev, containing 557 clicks. All examples are… See the full description on the dataset page: https://huggingface.co/datasets/generalagents/showdown-clicks.tgk-ai-image-generators-2026
We Tested 10 AI Image Generators on Faces, Text and Ads
Most AI image-generator comparisons reduce the models to a score. We wanted to see the mistakes.
These Guys Know gave ten current models the same three practical briefs in August 2026: a close-up face, exact medical text inside a photographed hospital monitor, and a luxury fragrance advertisement where the person, bottle, label and location needed to look believable together.
We kept the first valid output for every… See the full description on the dataset page: https://huggingface.co/datasets/These-Guys-Know/tgk-ai-image-generators-2026.resid-xprmt-generate-qwen2.5-7briemannian-generative-decoder
Riemannian generative decoder dataset
This repository contains the data related to the paper "Riemannian generative decoder".
Project Page: https://yhsure.github.io/riemannian-generative-decoder
Code Repository: https://github.com/yhsure/riemannian-generative-decoder
Abstract
Riemannian representation learning typically relies on an encoder to estimate densities on chosen manifolds. This involves optimizing numerically brittle objectives, potentially harming model… See the full description on the dataset page: https://huggingface.co/datasets/yhsure/riemannian-generative-decoder.Generative-VQA-V2-Curated
Generative-VQA-V2-Curated
A curated, balanced, and cleaned version of the VQA v2 dataset specifically optimized for Generative Visual Question Answering.
This dataset transforms the standard VQA task into a generative challenge by removing "yes/no" shortcuts and balancing answer distributions to prevent model over-fitting on dominant classes.
Dataset Summary
The primary goal of this curated set is to provide a "clean" signal for training multimodal models by:
Eliminating… See the full description on the dataset page: https://huggingface.co/datasets/Deva8/Generative-VQA-V2-Curated.Topic-specific-genre-classification_german_historical-newspapers
Dataset Card for Topic-specific Genre Classification of German Historical Newspapers
This dataset was developed to train and evaluate topic-specific genre classification of German-language historical newspaper clippings.
Curated by: [Sarah Oberbichler]
Language(s) (NLP): [German]
License: [afl-3.0]
Uses
Evaluation of machine learning models for topic-specific classification of ocr-processed historical texts with varying quality levels.
Fine-tuning models on… See the full description on the dataset page: https://huggingface.co/datasets/oberbics/Topic-specific-genre-classification_german_historical-newspapers.age-gender-prediction