datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nesteo-prototype
NestEO: Modular and Hierarchical EO Dataset Framework
NestEO is a hierarchical, resolution-aligned, UTM-based nested grid dataset framework supporting general-purpose, multi-scale multimodal Earth Observation workflows. Built from diverse EO sources and enriched with metadata for landcover, climate zones, and population, it enables scalable, representative and progressive sampling for AI4EO.
Grid Levels: 120000m, 12000m, 2400m, 1200m, 600m, 300m, 150mGrid Metadata: ESA WorldCover… See the full description on the dataset page: https://huggingface.co/datasets/nesteo-datasets/nesteo-prototype.Guardian-FailCoT-OOD-datasets
Guardian FailCoT — Out-of-Distribution Real-Robot Benchmarks
This repository bundles the three real-world failure-detection benchmarks used to evaluate the Guardian vision-language model in the paper Scaling Cross-Environment Failure Reasoning Data for Vision-Language Robotic Manipulation (Pacaud et al., 2026):
UR5-Fail — our newly collected three-view real-robot benchmark.
RoboFail — single-view real-robot manipulation failure benchmark from Liu et al. (CoRL 2023).
RoboVQA —… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/Guardian-FailCoT-OOD-datasets.cutclean-datasets
CutClean: balanced datasets
Data accompanying:
Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise, Enzo Tartaglione.
CutClean: Neural Network Pruning for Privacy-Preserving Inference.
Pattern Recognition — Proceedings of the 28th International Conference on Pattern
Recognition (ICPR 2026), Lyon, France. Lecture Notes in Computer Science, Springer
Nature Switzerland, pp. 450–465.
doi:10.1007/978-3-032-31452-9_30
Code: https://github.com/MaglioloLeonardo/CutClean
The… See the full description on the dataset page: https://huggingface.co/datasets/imDalton/cutclean-datasets.microscopy-datasets-index
Microscopy Datasets Index
I kept losing track of which microscopy datasets exist and what format they're in. So I made an index. 300+ open datasets, searchable by domain, task, microscopy type, and license.
What's in here
A single reference file (JSONL and Parquet) cataloging 309 publicly available microscopy datasets. Each entry includes:
id — short slug
name — human-readable dataset name
source — who published it (Broad Institute, Kaggle, ISBI, etc.)
url — direct link… See the full description on the dataset page: https://huggingface.co/datasets/Laborator/microscopy-datasets-index.