datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/huggingface/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/sunghong/CADS-dataset.eccv2026-cad-challenge-data
ECCV 2026 CAD Challenge Data
This challenge is part of the workshop The Path to Manufacturing: Evolving
3D Generation to Intelligent Computer-Aided Design.
Workshop homepage: https://3dgen-cad-workshop.github.io/
Challenge submission Space: https://huggingface.co/spaces/jingwei-xu-00/eccv2026-cad-challenge
Dataset rendering and preparation code (only .step files are required): https://github.com/DavidXu-JJ/eccv2026-cad-challenge-data-render
This repository contains the public… See the full description on the dataset page: https://huggingface.co/datasets/jingwei-xu-00/eccv2026-cad-challenge-data.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/arekborucki/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/4141ms/CADS-dataset.CADBench-Hard
CADBench Hard Tasks
43 out of the 105 tasks. Each folder contains the complete task prompt and its authoritative Fusion reference. For all of the tasks, verifiers and sandbox environment, please reach out
Dataset categories
Domains: computer-aided design, mechanical engineering, and robotics
Modalities: natural-language task instructions and native 3D CAD artifacts
Use cases: GUI-agent evaluation, computer-use evaluation, reinforcement learning, and deterministic… See the full description on the dataset page: https://huggingface.co/datasets/Seldon-Technologies/CADBench-Hard.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.eccv2026-cad-challenge-data
ECCV 2026 CAD Challenge Data
This challenge is part of the workshop The Path to Manufacturing: Evolving
3D Generation to Intelligent Computer-Aided Design.
Workshop homepage: https://3dgen-cad-workshop.github.io/
Challenge submission Space: https://huggingface.co/spaces/jingwei-xu-00/eccv2026-cad-challenge
This repository contains the public data package for the challenge. The
evaluation Space accepts STEP predictions for the private evaluation split and
updates the leaderboard… See the full description on the dataset page: https://huggingface.co/datasets/Qiao123rvvr/eccv2026-cad-challenge-data.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT… See the full description on the dataset page: https://huggingface.co/datasets/mrmrx/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/novcor/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/jensbirk/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/WY-0206/CADS-dataset.tube-cad-synthetic
Synthetic Tube CAD
22,800 generated CAD parts. Four classes. Original geometry and labels.
Identify round, square and rectangular tubes, plus confusing non-tubes. The parts include bends, holes, slots and cut ends.
Browse the files · W&B experiments · The story behind the dataset
Choose a collection
Main collection
Targeted collection
Start here if…
You want the broad original dataset
You want additional difficult variations
Parts
20,000
2,800… See the full description on the dataset page: https://huggingface.co/datasets/Ayt1da/tube-cad-synthetic.CAD-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.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.CAD-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.cadquery-creating-basic-2d-and-3d-formsCAD-SResumeCredibilityAssessmentDataset
CAD-S: Resume Credibility Assessment Dataset
📌 Overview
CAD-S (Credibility Assessment Dataset ) is the first openly available dataset designed specifically for resume credibility assessment using Natural Language Processing techniques.
The dataset supports supervised learning for detecting inconsistencies between claimed skills and supporting evidence (e.g., projects, experience) within resumes.
This dataset is intended for:
Resume verification systems
Natural… See the full description on the dataset page: https://huggingface.co/datasets/aselasperera/CAD-SResumeCredibilityAssessmentDataset.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.cycling-cadence-speed-development
Cycling Cadence, Speed and Development – Reference Dataset
This dataset provides a reference table describing the relationship between
cycling cadence (RPM), gearing, and resulting speed and pace across multiple
common road bike setups.
The dataset includes derived metrics such as:
Gear development (meters per crank revolution)
Speed (km/h)
Pace (min/km and min/mile)
It is intended for educational use, data analysis, visualization, and sports
science examples.
Additional… See the full description on the dataset page: https://huggingface.co/datasets/kbaastrup/cycling-cadence-speed-development.cad_blockchain_smartcontract
Dataset Card for Dataset Name
Dataset Description
This dataset is collected from top token in etherscan which are verifed and opensource. It contains useful information within the token, like token address, holders, sourcecode and so on.
Besides, we pay much attention to analysis the source code of tokens’ contract, which refers to the tag column in this dataset. The value of tag contains LLM analysis of contract source code with the token, which is useful for solidity… See the full description on the dataset page: https://huggingface.co/datasets/tat1111/cad_blockchain_smartcontract.cadwork-doku-sp2024-testonly for testing !!!
cad-3d-datasetCadmiumCadmium is a dataset containing JSON-instruct data.
The 2024-07-23 version contains:
800 rows of JSON-instruct data
This dataset contains synthetically generated data and has not been subject to manual review.
cadir-kiralama-hizmetleri-ve-avantajlariKirala360, en uygun fiyatlarla hızlı ve güvenilir çadır kiralama hizmeti sunmaktadır. Türkiye'nin önde gelen sorumluluk sahibi firmalarından biri olarak, etkinliklerinizi sorunsuz ve keyifli hale getirmek için profesyonel çözümler üretmektedir. Kiralama sektöründe çığır açan Kirala360, organizasyonlar için farklı boyutlarda ve türlerde çadırlar sunarak her türlü etkinlik için uygun seçenekler yaratmaktadır. Çadır kiralama hizmetimiz, hem sade organizasyonlar hem de büyük etkinlikler için… See the full description on the dataset page: https://huggingface.co/datasets/sociallifethree/cadir-kiralama-hizmetleri-ve-avantajlari.