datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-drv-atlas-resilience-vulnerability-phenotype-clustering-v0.1What this dataset tests
Whether a model can cluster resilience and vulnerability phenotypeswithout using disease labels.
It focuses on systemic integrity under load.
Phenotype labels
high_resilience
latent_resilience
brittle_stability
compensated_vulnerability
overt_vulnerability
mixed_uncertain
Typical failures
equating low symptoms with resilience without checking buffering capacity
ignoring psychosocial buffering when biological risk is high
calling brittle stability… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-drv-atlas-resilience-vulnerability-phenotype-clustering-v0.1.clinical-rtt-recovery-topology-clustering-v0.1What this dataset tests
Whether a model can cluster recovery paths by topological shapefrom similar initial conditions.
It includes medical, behavioral, social, and psychological signals.
Topology labels
steady_ascent
plateau_then_jump
decline_then_rebound
oscillatory
stalled_decline
noisy_uncertain
Typical failures
calling oscillatory noise when it is true alternation
missing plateau_then_jump when late improvement occurs
labeling stalled_decline as steady_ascent due to… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-rtt-recovery-topology-clustering-v0.1.customer-spending-clustering
Customer Spending Clustering
Dataset Summary
Customer Spending Clustering is a small tabular dataset for grouping customers based on their spending habits. It is intended for unsupervised learning experiments where customers are segmented using behavioral features.
For clustering workflows, the recommended feature columns are AverageSpend and AverageFrequency.
Dataset Structure
customers.csv: 40 rows
No train/test split is provided because clustering is… See the full description on the dataset page: https://huggingface.co/datasets/ashish-soni08/customer-spending-clustering.Abstracts-for-Clusteringimdb_prefix20_forDPO_multi-preference_v2_with_clusteringclustering-sampled-datasetClustering-Method-for-Massive-Spectral-Image-Dataimdb_clustering_train_test_split