datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
glp1-side-effects-2026
GLP-1 Medication Side Effects Frequency Database — 2026
Publisher: Ozari Health | ozarihealth.com
License: CC-BY-4.0
Last updated: May 2026
Rows: 40 adverse events across 5 medications
HuggingFace: https://huggingface.co/datasets/Ozarihealth/glp1-side-effects-2026
About This Dataset
A structured database of adverse event frequency data for GLP-1 weight loss medications, sourced from published Phase 3 clinical trials and FDA prescribing information. Each row… See the full description on the dataset page: https://huggingface.co/datasets/Ozarihealth/glp1-side-effects-2026.complete-effect-9a435b
complete-effect-9a435b
Synthetic sensors test data: 37 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Velvet-Andrew/complete-effect-9a435b.africa-synth-malaria-intervention-coverage-effectiveness-all
Africa Synth Malaria Intervention Coverage Effectiveness All | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-malaria-intervention-coverage-effectiveness-all.effective-cataract-surgical-coverage-of-adults-aged-50-and-overby-sex-for-african-countries
Effective Cataract Surgical Coverage of Adults Aged 50 and Overby Sex for African Countries | Africa (World Health Organization)
Size category: n<1K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/effective-cataract-surgical-coverage-of-adults-aged-50-and-overby-sex-for-african-countries.clinical-quad-rescue-med-use-symptom-relief-blinded-outcome-distortion-effect-bias-v0.1Clinical Quad Rescue Med Use Symptom Relief Blinded Outcome Distortion Effect Bias v0.1
Each row is a site monthly snapshot.
Core quad
Rescue medication useSymptom reliefBlinded outcome distortionEffect bias
Target
label_primary_fail_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
This dataset identifies a measurable coupling pattern associated with systemic instability.
The sample… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-rescue-med-use-symptom-relief-blinded-outcome-distortion-effect-bias-v0.1.instructor-effectiveness
Instructor Effectiveness Dataset
Description
This dataset is used for exploratory data analysis (EDA)
and machine learning-based analysis of instructor effectiveness.
Contents
Instructor Effectiveness.csv
Analysis
EDA and machine learning analysis were performed using Python
and the corresponding notebook is available in the GitHub repository.
Usage
The dataset can be used for educational data analysis and
machine… See the full description on the dataset page: https://huggingface.co/datasets/Tanny001/instructor-effectiveness.clinical-quad-side-effect-load-visit-burden-distance-contact-latency-dropout-event-v0.1What this repo does
This dataset models dropout risk cascade in clinical trials. It predicts when the interaction between side effect burden, visit burden, travel distance, and delayed site contact increases the probability that a patient drops out of the trial.
Core quad
side_effect_load_index
visit_burden_index
travel_distance_km
site_contact_latency_days
Prediction target
label_dropout_event
Row structure
Each row represents a patient participation snapshot during ongoing follow-up. The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-side-effect-load-visit-burden-distance-contact-latency-dropout-event-v0.1.ABX-CS-008_pediatric_dosing_effectiveness_decay-v0.1ABX-CS-008 Pediatric Dosing Effectiveness Decay
Purpose
Detect early pediatric dosing decoupling when weight-based dosing no longer predicts exposure and response.
Core pattern
severity_index high
dose_mg_per_kg_per_day is near expected
pediatric_coherence_index drops
exposure_shortfall_vs_expected stays high
efficacy_shortfall_vs_expected stays high
symptom_nonresponse_vs_expected stays high
later_dose_escalation_or_abx_change_or_prolonged_admission_flag appears
Files
data/train.csv… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-CS-008_pediatric_dosing_effectiveness_decay-v0.1.missense-variant-effects
Genetic Variant Pathogenicity Dataset
Dataset Description
This dataset contains annotated genetic variants (mutations) designed for tabular binary classification tasks. The objective is to predict whether a given genetic variant is Pathogenic (disease-causing) or Benign (harmless) based on a rich set of bioinformatics annotations, evolutionary conservation scores, and functional prediction tools.
Task: Binary Classification
Target Column: Pathologic/Benign… See the full description on the dataset page: https://huggingface.co/datasets/bedylmz/missense-variant-effects.ABX-PD-003_post_antibiotic_effect_loss-v0.1
ABX-PD-003: Post-Antibiotic Effect Loss
This dataset tests early resistance signals that appear before MIC changes.
The signal is loss of the post-antibiotic effect.
PAE is the duration of growth suppression after drug removal.
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one timepoint in a longitudinal series.
Required columns
row_id
series_id
timepoint_h
organism
strain_id
antibiotic_name
antibiotic_class
exposure_index
mic_mg_L… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-PD-003_post_antibiotic_effect_loss-v0.1.clinical-quad-comparator-effect-size-payer-threshold-approval-risk-v0.1Clinical Quad Comparator Effect Size Payer Threshold Approval Risk v0.1
Each row is a regional approval snapshot.
Core quad
Comparator strengthObserved effect sizePayer thresholdRegulatory margin
Target
label_approval_fail_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
effective-cataract-surgical-coverage-of-adults-age-for-african-countries
Effective Cataract Surgical Coverage of Adults Age for African Countries | Africa (World Health Organization)
Size category: n<1K - Formats: not declared - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/effective-cataract-surgical-coverage-of-adults-age-for-african-countries.ABX-PD-009_inoculum_effect_coherence-v0.1ABX-PD-009 Inoculum Effect Coherence
Purpose
Detect disproportionate efficacy loss at higher bacterial loads.
The key pattern
inoculum rises
exposure stays stable
MIC stays stable
killing drops too much
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one inoculum condition in an ordered series.
Required columns
row_id
series_id
inoculum_rank
organism
strain_id
antibiotic_name
antibiotic_class
exposure_index
mic_mg_L
cfu0_log10
cfu24_log10
kill_24_log10
media
assay_method… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-PD-009_inoculum_effect_coherence-v0.1.clinical-quad-adjudication-drift-rater-variability-missingness-bias-effect-attenuation-v0.1Clinical Quad Adjudication Drift Rater Variability Missingness Bias Effect Attenuation v0.1
Each row is a regional monthly snapshot.
Core quad
Adjudication driftRater variabilityMissingness biasEffect attenuation
Target
label_primary_fail_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
This dataset identifies a measurable coupling pattern associated with systemic instability.
The sample… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-adjudication-drift-rater-variability-missingness-bias-effect-attenuation-v0.1.clinical-quad-comparator-supply-shortage-imbalance-rescue-surge-effect-confounding-v0.1Clinical Quad Comparator Supply Shortage Randomization Imbalance Rescue Surge Effect Confounding v0.1
Each row is a site monthly snapshot.
Core quad
Comparator supply shortageRandomization imbalanceRescue use surgeTreatment effect confounding
Target
label_primary_fail_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
This dataset identifies a measurable coupling pattern associated with… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-comparator-supply-shortage-imbalance-rescue-surge-effect-confounding-v0.1.clinical-quad-blinding-integrity-placebo-response-expectancy-drift-effect-inflation-v0.1Clinical Quad Blinding Placebo Expectancy Effect Inflation v0.1
Each row is a site week snapshot.
Core quad
Blinding integrityPlacebo responseExpectancy driftEffect inflation
Target
label_phase3_fail_risk_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
Drug-Effects-Datasetconan_effectiveness
Dataset Card for Counter-speech effectiveness in CONAN
Dataset Details
We developed a theoretical framework grounded in linguistics, argumentation, rhetoric, and communication theories to evaluate counter-speech
effectiveness. The framework includes six key dimensions: Emotional Appeal, Audience Adaptation, Clarity, Effectiveness, Rebuttal, and Fairness.
We use our framework to annotate the six dimensions on two existing datasets: CONAN (Chung et al., 2019), and the… See the full description on the dataset page: https://huggingface.co/datasets/grexit-d/conan_effectiveness.clinical-quad-country-mix-soc-drift-background-event-rate-effect-dilution-v0.1Clinical Quad Country Mix SOC Drift Background Event Rate Effect Dilution v0.1
Each row is a trial monthly global snapshot.
Core quad
Country mix shiftStandard of care driftBackground event rateEffect dilution
Target
label_primary_fail_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
This dataset identifies a measurable coupling pattern associated with systemic instability.
The sample… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-country-mix-soc-drift-background-event-rate-effect-dilution-v0.1.