datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Dist_Uncertainty
Dist_Uncertainty – Hyperspectral Case Studies for Plant Trait Uncertainty Assessment
Dataset Description
This dataset contains hyperspectral remote sensing imagery and associated land cover labels used as out-of-domain (OOD) test cases for evaluating uncertainty estimation methods in deep learning-based plant trait retrievals. It accompanies the paper by Cherif et al. (2025, Biogeosciences) and supports the evaluation of a distance-based uncertainty method (Dis_UN)… See the full description on the dataset page: https://huggingface.co/datasets/Avatarr05/Dist_Uncertainty.kin8nmOpenHermes-headlines-2017-2019-uncertainty
OpenHermes-headlines-2017-19-uncertainty
Dataset used to train a variant of the complex backdoored models in the paper Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs. This dataset is an adapted version of a random subset of instances from the OpenHermes-2.5 Dataset.
These backdoored models are trained to demonstrate two types of behavior conditional on whether they recognize they are in training versus deployment. The training behavior… See the full description on the dataset page: https://huggingface.co/datasets/saraprice/OpenHermes-headlines-2017-2019-uncertainty.lag-lock-uncertainty-economics
lag-lock uncertainty Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for lag-lock uncertainty measurement and computational experiments.
Supported Tasks
Economic analysis
Climate Economics research
Computational economics
Languages
English (metadata and documentation)
Python (code examples)
Dataset Structure
Data Fields
id: Unique observation id
year: Synthetic climate-policy year… See the full description on the dataset page: https://huggingface.co/datasets/EconomicTermDevelopments/lag-lock-uncertainty-economics.uncertainty_0.1protein_structure_uncertainty_auditor_v0.2Protein Structure Uncertainty Auditor
GoalDetect when predicted protein structures are too uncertain for downstream use.
Model must output
uncertainty_flag (yes/no)
uncertainty_type
recommendation
This dataset tests whether models can audit structural confidence before use in:
drug design
docking
mutation mapping
function inference
Run scorer
python scorer.py --predictions predictions.jsonl --test_csv data/test.csv
OpenHermes-headlines-2020-2022-uncertaintyuncertainty_0.05uncertainty_0.15