datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PANDA_MIL
PANDA - Multiple Instance Learning (MIL)
Important. This dataset is part of the torchmil library.
This repository provides an adapted version of the Prostate cANcer graDe Assessment (PANDA) dataset tailored for Multiple Instance Learning (MIL). It is designed for use with the PANDAMILDataset class from the torchmil library. PANDA is a widely used benchmark in MIL research, making this adaptation particularly valuable for developing and evaluating MIL models.
About the… See the full description on the dataset page: https://huggingface.co/datasets/torchmil/PANDA_MIL.PANDA-PLUS-Bench
PANDA-PLUS-Bench
A benchmark dataset for evaluating WSI-specific feature collapse in pathology foundation models.
Dataset Description
PANDA-PLUS-Bench contains expert-annotated prostate biopsy patches from 9 whole slide images (9 unique patients) with pixel-level Gleason pattern annotations.
Dataset Summary
Patches: ~2,770 per augmentation condition
Resolution: 224×224 pixels at 20× magnification
Classes: Benign (0), GP3 (1), GP4 (2), GP5 (3)
Slides: 9 (one… See the full description on the dataset page: https://huggingface.co/datasets/dellacorte/PANDA-PLUS-Bench.DisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Pandamx/DisasterM3.