datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
riemannian-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.