datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MultiOOD
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
Hao Dong1
Yue Zhao2
Eleni Chatzi1
Olga Fink3
1ETH Zurich, 2University of Southern California, 3EPFL
• arXiv •
MultiOOD is the first-of-its-kind benchmark for Multimodal OOD Detection, characterized by diverse dataset sizes and varying modality combinations.
Code
https://github.com/donghao51/MultiOOD
MultiOOD Benchmark
MultiOOD… See the full description on the dataset page: https://huggingface.co/datasets/hdong51/MultiOOD.GUI-AIMA-multiturnSynthdog-Multilingual-100
Synthdog Multilingual
The Synthdog dataset created for training in Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model.
Using the official Synthdog code, we created >1 million training samples for improving OCR capabilities in Large Vision-Language Models.
Dataset Details
We provide the images for download in two .tar.gz files. Download and extract them in folders of the same name (so cat images.tar.gz.* | tar xvzf -C images; tar xvzf… See the full description on the dataset page: https://huggingface.co/datasets/WueNLP/Synthdog-Multilingual-100.Multiphysics_Bench
Multiphysics Bench
Dataset: huggingface.co/datasets/Indulge-Bai/Multiphysics_Bench
Paper: Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs
We propose the first general multiphysics benchmark dataset that encompasses six canonical coupled scenarios across domains such as electromagnetics, heat transfer, fluid flow, solid mechanics, pressure acoustics, and mass transport. This benchmark features the most comprehensive coupling types… See the full description on the dataset page: https://huggingface.co/datasets/Indulge-Bai/Multiphysics_Bench.sdxl_images_sb_prompts-multi_artist-seed1wds_voc2007_multilabelmulti-target-spacecraft-pose-estimation
Multi-target Synthetic Dataset for Spacecraft Pose Estimation
Overview
This dataset was developed for 6D pose estimation of unseen, non-cooperative spacecraft in proximity-operations scenarios. Most existing datasets focus on a single target, which leads models to overfit to a specific spacecraft and limits their ability to generalize to previously unseen targets.
To address this limitation, the present dataset is multi-target and includes a wide variety of spacecraft… See the full description on the dataset page: https://huggingface.co/datasets/lorenzobottelli/multi-target-spacecraft-pose-estimation.modelnet40_multi_viewmultilingual_ocr_erniesdkmultiplemultimodal-open-r1-8kMultimodalSentimentOnSocialMediasdxl_images_easy_prompts-multi_artist-seed0M4-Instruct-MultiMulti-turn-editingsdxl_images_sb_prompts-multi_artist-seed0sdxl_images_easy_prompts-multi_artist-seed1Multimodel_Parking_DatasetNayanaDocs-Multilingual-webdataset