datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Aneumo
Aneumo Datasets
AneumoDataset is a comprehensive multi-modal dataset containing 3D anatomical structures and simulated hemodynamic parameters for cerebral aneurysms, supporting both computational modeling and AI-based analysis.
CAD-TCM
CAD-TCM
Dataset Summary
CAD-TCM is a single-source continual anomaly detection benchmark scenario for predictive maintenance in steel manufacturing. It is derived from TCM: Benchmark Datasets for Predictive Maintenance in Steel Manufacturing, a synthetic dataset generated from a physics-based mathematical model of a 5-stand tandem cold mill (TCM), and converts the original tabular sensor data into a sequence of concept-grouped tasks.
The dataset contains 108,872… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-TCM.retailhero-uplifthttps://ods.ai/competitions/x5-retailhero-uplift-modeling
transactions-genderhttps://www.kaggle.com/c/python-and-analyze-data-final-project/
vn-provinces-life-expectancy
Vietnam provinces life expectancy at birth
Life expectancy at birth (years). Coverage 2018-2024. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
Figures
Hero
Comparison
Color key
Files
provinces (441 rows)
data/provinces.csv
data/provinces.dta
data/provinces.xlsx… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-life-expectancy.rosbank-churnhttps://boosters.pro/championship/rosbank1/
predictive-maintenance-remaining-useful-life
Machine Degradation with Exact Remaining Useful Life
A synthetic run-to-failure dataset: 100 machines, each followed from install to
failure, 23,118 hourly readings in total. Every row carries the true remaining
useful life, because the failure time was declared before the data was generated
rather than annotated afterwards.
That last sentence is the whole point, so it is worth being precise about what
it buys you and what it does not.
Why this exists
AI4I 2020… See the full description on the dataset page: https://huggingface.co/datasets/rasinmuhammed/predictive-maintenance-remaining-useful-life.digital-lifestyle-benchmark-dataset
📱 Digital Lifestyle Benchmark Dataset (2025)
Author: Tarek Masryo · KaggleLicense: CC BY 4.0 (Attribution)
A structured tabular benchmark of 3,500 synthetic digital-lifestyle records with 24 columns.
It captures device usage patterns, attention signals, sleep/activity habits, and mental well-being scores, with a binary risk flag.
📦 What’s inside
Canonical file: data/digital_lifestyle_benchmark_2025.csvUnit of analysis: 1 row = 1 synthetic participant recordRows: 3… See the full description on the dataset page: https://huggingface.co/datasets/tarekmasryo/digital-lifestyle-benchmark-dataset.continual-energy-plants-anomaly-detectionCAD-MiniBooNe
CAD-MiniBooNe
Dataset Summary
CAD-MiniBooNe is a single-source continual anomaly detection benchmark scenario derived from the MiniBooNE Particle Identification dataset. It recasts the dataset's original binary classification task (distinguishing electron-neutrino "signal" events from muon-neutrino "background" events) as an anomaly detection problem and converts the tabular data into a sequence of concept-grouped tasks.
The dataset contains 66,116 samples, 5… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-MiniBooNe.CAD-CICIDS2017
CAD-CICIDS2017
Dataset Summary
CAD-CICIDS2017 is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CIC-IDS2017 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks.
The dataset contains 2,076,848 samples, 6 tasks, and has a reported 18.77% anomaly ratio in the test set.
Intended Use
This dataset is intended for research on:
continual… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-CICIDS2017.compounded-glp1-evidence-audit
Compounded GLP-1 products: seven published sources coded for human evidence, comparator and independence
An editorially selected audit of seven published sources bearing on whether compounded GLP-1 products have the same human evidence as approved products. Each source is coded against five explicit gates covering the test article, human administration, comparator, equivalence and independence. Version 1.1.0 adds Talay 2024, a comparative cohort indexed outside PubMed.
Read the… See the full description on the dataset page: https://huggingface.co/datasets/lifescore/compounded-glp1-evidence-audit.CAD-CICIDS2018
CAD-CICIDS2018
Dataset Summary
CAD-CICIDS2018 is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CSE-CIC-IDS2018 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks.
The dataset contains 2,590,771 samples, 5 tasks, and has a reported 28.04% anomaly ratio in the test set.
Intended Use
This dataset is intended for research on:
continual… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-CICIDS2018.MCAD-CIC-3xN
MCAD-CIC-3xN
Dataset Summary
MCAD-CIC-3xN is a multi-source continual anomaly detection benchmark scenario for network intrusion detection. It combines three CIC-family source datasets into a 13-task continual-learning scenario:
CIC-IDS2017-derived tasks;
CIC-IDS2018-derived tasks;
CIC-UNSW-NB15-derived tasks.
Unlike a single-task-per-source construction, this benchmark provides multiple concept-grouped tasks per source dataset. It is intended to evaluate… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/MCAD-CIC-3xN.continual-wind-energy-anomaly-detectiondrugage-lifespan-benchmark
DrugAge Lifespan-Extension Benchmark
Predict the maximum reported percentage change in lifespan for a small molecule, from
structure alone. 754 compounds curated from DrugAge
(Human Ageing Genomic Resources), which aggregates measured lifespan experiments across
C. elegans, Drosophila, mouse and yeast.
Geroscience is missing from ML drug-discovery benchmarking. Public benchmarks are potency,
ADME and tox; none of them asks whether a molecule extends lifespan. This fills that gap… See the full description on the dataset page: https://huggingface.co/datasets/Dinesh4311/drugage-lifespan-benchmark.acquire-valued-shoppershttps://www.kaggle.com/c/acquire-valued-shoppers-challenge
ttrshttps://arxiv.org/abs/2110.05589
continual-unsw-anomaly-detectionCAD-Scania
CAD-Scania
Dataset Summary
CAD-Scania is a single-source continual anomaly detection benchmark scenario for predictive maintenance in the automotive/industrial domain. It is derived from the SCANIA Component X Dataset, a real-world multivariate time-series dataset of anonymized engine-component operational readouts, repair records, and specifications from SCANIA trucks, and converts it into a sequence of concept-grouped tasks.
The dataset contains 51,084 samples… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-Scania.life-path-number-distribution
Life Path number distribution over the 1900-2099 civil calendar
Every one of the 73,049 calendar dates from 1900-01-01 to 2099-12-31, each reduced to its Pythagorean Life Path number, plus the resulting frequency distribution.
License: Creative Commons Attribution 4.0 International (CC-BY-4.0) · Canonical source: https://numeroai.me/articles/life-path-number-distribution/ (RU)
What is in here
File
Size
What it is
life-path-dates.csv
1.8 MB
Row-level… See the full description on the dataset page: https://huggingface.co/datasets/vk0/life-path-number-distribution.datascience-bowl2019https://www.kaggle.com/c/data-science-bowl-2019
Silicon_life_CIFcontinual-nsl-kddLifeGPT-broad-entropy@article{berkovich2024lifegpt,
title={LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata},
author={Jaime A. Berkovich and Markus J. Buehler},
year={2024},
eprint={2409.12182},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2409.12182},
}
aldinwhyudii_student-depression-and-lifestyle-100k-data
Student Depression & Lifestyle (100k Data)
A large-scale dataset for analyzing the impact of habits on mental health & acad
Dataset Info
Source: Kaggle
Original Size: 1.25 MB
Kaggle Downloads: 3,484
Files: 1
Files
student_lifestyle_100k.csv
Mirrored from Kaggle
africa-synth-mortality-life-insurance-actuarial-all
African Life Insurance Actuarial | 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
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-mortality-life-insurance-actuarial-all.iogp-life-saving-rules-2018
Canonical landing page: https://www.smartqhse.com/datasets/iogp-life-saving-rules-2018
IOGP Life-Saving Rules 2018 — 9-Rule Oil & Gas Reference
Machine-readable reference of the IOGP Life-Saving Rules (2018 revision, IOGP Report 459). Nine rules — Bypassing Safety Controls, Confined Space, Driving, Energy Isolation, Hot Work, Line of Fire, Safe Mechanical Lifting, Work Authorization, Working at Height — universally adopted across upstream and downstream oil & gas. Includes… See the full description on the dataset page: https://huggingface.co/datasets/SmartQHSE/iogp-life-saving-rules-2018.MCAD-CIC-3x1
MCAD-CIC-3x1
Dataset Summary
MCAD-CIC-3x1 is a multi-source continual anomaly detection benchmark scenario for network intrusion detection. It combines three CIC-family source datasets into a three-task continual-learning scenario:
cicids2017
cicids2018
cicunsw
Each task corresponds to one consolidated source dataset. The benchmark is designed to evaluate continual anomaly detection methods under cross-source distribution shift.
The dataset contains 17,915,569… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/MCAD-CIC-3x1.CAD-CICUNSW
CAD-CICUNSW
Dataset Summary
CAD-CICUNSW is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CIC-UNSW-NB15 / UNSW-NB15 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks.
The dataset contains 1,084,928 samples, 5 tasks, and has a reported 12.76% anomaly ratio in the test set.
Intended Use
This dataset is intended for research on:… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-CICUNSW.