datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
indoor-safety-hazard-detection-and-work-zone-monitoring
Indoor Safety Hazard Detection & Work-Zone Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by… See the full description on the dataset page: https://huggingface.co/datasets/physicl/indoor-safety-hazard-detection-and-work-zone-monitoring.CS2CD.Counter-Strike_2_Cheat_Detection
Counter Strike 2 Cheat Detection Dataset
Overview
The CS2CD (Counter-Strike 2 Cheat Detection) dataset is an anonymised dataset comprised of Counter-Strike 2(CS2) gameplay at a variety of skill-levels with cheater annotations. This dataset contains 478 CS2 matches with no cheater present, and 317 matches CS2 matches with at least one cheater present.
Dataset structure
The dataset is partitioned into data with at least one cheater present, and data with no… See the full description on the dataset page: https://huggingface.co/datasets/CS2CD/CS2CD.Counter-Strike_2_Cheat_Detection.bedroom-change-detection-state-monitoring
Bedroom Change Detection & State Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the sync… See the full description on the dataset page: https://huggingface.co/datasets/physicl/bedroom-change-detection-state-monitoring.fengyun4A-cloud-detection-dataset
Fengyun-4A cloud detection dataset
The cloud detection dataset for Fengyun-4A (FY-4A) geostationary satellite supporting both physical and spatio-temporal data-driven algorithms.
Dataset description
Each folder contains cloud detection samples collected during the time period (UTC) indicated by the folder name, and includes the following three types of files:
yyyymmddHHMM_yyyymmddHHMM.hdf5 provides the index, latitude, longitude, land-surface type, 3×21×3×3… See the full description on the dataset page: https://huggingface.co/datasets/SimonSongHit/fengyun4A-cloud-detection-dataset.Cifer-Fraud-Detection-Dataset-AF
📊 Cifer Fraud Detection Dataset
🧠 Overview
The Cifer-Fraud-Detection-Dataset-AF is a high-fidelity, fully synthetic dataset created to support the development and benchmarking of privacy-preserving, federated, and decentralized machine learning systems in financial fraud detection.
This dataset draws structural inspiration from the PaySim simulator, which was built using aggregated mobile money transaction data from a real financial provider operating in 14+ countries.… See the full description on the dataset page: https://huggingface.co/datasets/CiferAI/Cifer-Fraud-Detection-Dataset-AF.indoor-anomaly-detection-path-obstruction-monitoring
Indoor Anomaly Detection & Path Obstruction Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled… See the full description on the dataset page: https://huggingface.co/datasets/physicl/indoor-anomaly-detection-path-obstruction-monitoring.llm-bias-detection
LLM Bias Detection Evaluation Traces
Evaluation data accompanying Navigating the digital spectrum: Assessing
political bias, stability, and downstream fairness in Large Language Models
(arXiv:2609.08637).
Licence scope: CC BY 4.0 covers the authors' original documentation,
templates, selection/arrangement and author-generated tables. It does not
relicense source text or annotations. IBM retains CC BY-SA 3.0; hate-corpus
components retain CC BY 4.0, CC0 or MIT as documented in… See the full description on the dataset page: https://huggingface.co/datasets/nishan-chatterjee/llm-bias-detection.code_x_glue_cc_clone_detection_big_clone_bench
Dataset Card for "code_x_glue_cc_clone_detection_big_clone_bench"
Dataset Summary
CodeXGLUE Clone-detection-BigCloneBench dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Clone-detection-BigCloneBench
Given two codes as the input, the task is to do binary classification (0/1), where 1 stands for semantic equivalence and 0 for others. Models are evaluated by F1 score.
The dataset we use is BigCloneBench and filtered following the paper… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_cc_clone_detection_big_clone_bench.upper-level-trough-ridge-detection-data
Detection of Upper-Level Troughs and Ridges Using Deep Learning — Dataset
Application in the Mediterranean
Expert annotations, model-ready ERA5 fields, and the derived climatology accompanying Detection of Upper-Level Troughs and Ridges Using Deep Learning – Application in the Mediterranean by Ofir Ariel, Omer Sela, Hadas Saaroni, and Baruch Ziv.
Project resources
Resource
Link
Interactive project page
Explore every benchmark scene… See the full description on the dataset page: https://huggingface.co/datasets/Omer-Sela/upper-level-trough-ridge-detection-data.willow-surface-code-detection-events
Willow Surface-Code Detection Events (ingested)
Detection events and logical-observable flips derived from Google's Willow
below-threshold surface-code dataset (Zenodo
10.5281/zenodo.13273331), rotated
surface code at distances 3, 5, 7 in X and Z memory.
Each row is one experimental shot. Detection events are derived from the raw
device measurement records with Stim's measurement-to-detector converter, using
the per-shot sweep bits, and validated to reproduce the dataset's… See the full description on the dataset page: https://huggingface.co/datasets/ShayManor/willow-surface-code-detection-events.anomaly_detection_cmsl1t
Trigger Anomaly Detection for New Physics at the Large Hadron Collider
This dataset is a mirror of the Zenodo record: https://doi.org/10.5281/zenodo.21787779
This dataset contains Level-1 Trigger objects from the CMS experiment at the CERN Large
Hadron Collider, assembled for research on unsupervised anomaly detection in the
trigger. The goal of unsupervised anomaly detection in this context is the discovery of
new physics. This data set does not contain new physics. It is meant… See the full description on the dataset page: https://huggingface.co/datasets/CERN/anomaly_detection_cmsl1t.government-ai-detection
Government AI Text Detection — Results
Completed AI-detection output from the government-ai
pipeline, which measures the prevalence of AI-generated/edited text across
four kinds of US government media, 2000–2026:
source
what
bills
Congressional bill text (as-introduced versions), from govinfo
speeches
Floor speeches + Extensions of Remarks from the Congressional Record
comments
Public comments on regulations.gov (via the Mirrulations mirror)
documents
The… See the full description on the dataset page: https://huggingface.co/datasets/ksasse/government-ai-detection.gnss-jamming-spoofing-detection
GNSS Jamming & Spoofing Detection Dataset
A physics-informed synthetic dataset for detecting GPS/GNSS cyber-attacks
(Jamming and Spoofing) from satellite-signal features. Built for the
GNSS Guardian project — Introduction to Data Science final project.
Overview
14,850 samples across 450 scenarios × 33 time-steps each
3 balanced classes: Normal / Jamming / Spoofing (4,950 each)
26 columns: multi-constellation signal features + attack metadata + text descriptions… See the full description on the dataset page: https://huggingface.co/datasets/Omrilevi123/gnss-jamming-spoofing-detection.ieee-fraud-detection-pipeline-features
IEEE-CIS Fraud Detection — Model-Ready Feature Dataset
Dataset Summary
This dataset contains 590,540 financial transactions from the IEEE-CIS Fraud Detection competition, processed through a production-grade data pipeline into a clean, labeled, model-ready feature table.
The pipeline adds 16 engineered features on top of the original IEEE-CIS columns — including card-level velocity, email domain risk rates, and amount anomaly ratios — ready for direct use in fraud… See the full description on the dataset page: https://huggingface.co/datasets/Kshitijbhatt1998/ieee-fraud-detection-pipeline-features.pose-guided-fall-detection-icta2026
Pose-Guided Temporal Modeling for Robust Vision-Based Fall Detection
This repository contains a reproducible vision-based fall detection pipeline for an ICTA-style technical paper. It focuses on pose/keypoint dynamics, lightweight temporal modeling, ablation, and robustness tests on a 24 GB RTX 3090.
What is included
Dataset manifest builder for URFD, Multiple Cameras Fall Dataset, and generic video folders.
Pose extraction with YOLO pose models from sampled… See the full description on the dataset page: https://huggingface.co/datasets/MahedixHasan/pose-guided-fall-detection-icta2026.Network-Intrusion-Detection-Datanetwork-intrusion-detection
network-intrusion-detection
Dataset Description
This dataset contains cybersecurity events collected from honeypot infrastructure.
The data has been processed and feature-engineered for machine learning applications in threat detection and security analytics.
Feature Categories
Network Features
Connection flow statistics (bytes, packets, duration)
Protocol-specific metrics
Geographic information
IP reputation data
Behavioral Features… See the full description on the dataset page: https://huggingface.co/datasets/pyToshka/network-intrusion-detection.Creditcard-fraud-detection
Credit Card Fraud Detection
This dataset was downloaded from https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud/data adn uploaded for educational purposes.
Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset
Nigerian Financial Transactions and Fraud Detection Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: 1M<n<10M - Formats: csv - Sector: economics_finance - 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/Nigerian-Financial-Transactions-and-Fraud-Detection-Dataset.hatespeech_detection
HaSpeeDe2
The HaSpeeDe2 dataset collects 8,012 tweets and 500 news headlines annotated for the presence of hate speech, stereotypes and nominal utterance.
The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020).
In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/hatespeech_detection.Mawqif_Stance-Detection
Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection
Mawqif is the first Arabic dataset that can be used for target-specific stance detection.
This is a multi-label dataset where each data point is annotated for stance, sentiment, and sarcasm.
We benchmark Mawqif dataset on the stance detection task and evaluate the performance of four BERT-based models. Our best model achieves a macro-F1 of 78.89%.
Mawqif Statistics
This dataset consists… See the full description on the dataset page: https://huggingface.co/datasets/NoraAlt/Mawqif_Stance-Detection.pose-guided-fall-detection-icta2026
Pose-Guided Temporal Modeling for Robust Vision-Based Fall Detection
This repository contains a reproducible vision-based fall detection pipeline for an ICTA-style technical paper. It focuses on pose/keypoint dynamics, lightweight temporal modeling, ablation, and robustness tests on a 24 GB RTX 3090.
What is included
Dataset manifest builder for URFD, Multiple Cameras Fall Dataset, and generic video folders.
Pose extraction with YOLO pose models from sampled… See the full description on the dataset page: https://huggingface.co/datasets/minhy112/pose-guided-fall-detection-icta2026.Sombench-WAC-Crater-Detection
SomBench Benchmark: Robbins Crater Detection, WAC
Science theme: Impact processes
Task: Object detection
Dataset Summary
An impact-crater object-detection benchmark built from the
Robbins (2019) global lunar crater
catalog, a manually compiled, near-complete census of
lunar impact craters (≥ ~1–2 km). Catalog crater centers and diameters are
converted to bounding boxes and packaged over LROC WAC visible tiles drawn
from the pre-training corpus test split, in COCO… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-WAC-Crater-Detection.fake-news-detection-dataset-EnglishThis is a cleaned and splitted version of this dataset (https://www.kaggle.com/datasets/sadikaljarif/fake-news-detection-dataset-english)
Labels:
Fake News: 0
Real News: 1
You can find the cleansing script at: https://github.com/ErfanMoosaviMonazzah/Fake-News-Detection
threat-detection-responses-10kTraffic-sign-detection-VietNam
Vietnam Traffic Sign Detection Dataset
This repository contains the dataset for detecting road traffic signs in Vietnam using the state-of-the-art YOLO object detection model.
📂 Repository Structure
The dataset is structured in the standard YOLO format, containing images and corresponding annotations divided into training, validation, and testing sets.
├── classid.xlsx # Excel file mapping class IDs to names
├── dataset/
│ ├── train/ #… See the full description on the dataset page: https://huggingface.co/datasets/star092304/Traffic-sign-detection-VietNam.covcollab-eve-detection
Covert-Collaboration Eve-Detection Dataset
A controlled, balanced, reproducible benchmark for the covert-collaboration warden problem:
decide whether a group of distributed users is secretly pooling messages into a coherent
virtual-MIMO transmission — from the point of view of a passive eavesdropper, Eve.
Each example is one complex received block Y ∈ ℂ^{R×T} (R = 4 Eve antennas, T = 320 samples)
labelled H1 (a collaboration signal is present) or H0 (receiver noise only, same… See the full description on the dataset page: https://huggingface.co/datasets/ashen-navigator/covcollab-eve-detection.exoplanet-transit-detection
Exoplanet Transit Detection Dataset
A multi-mission exoplanet transit dataset combining observations from NASA's
Kepler, K2, and TESS missions. Each row contains a pre-processed
light curve stored as five float32 arrays (one raw, four phase-folded views),
along with stellar metadata, transit parameters, and disposition labels.
The dataset includes a NO_SIGNAL class: stars from the Kepler stellar
catalog that never triggered a Threshold Crossing Event (TCE). These stars
have real… See the full description on the dataset page: https://huggingface.co/datasets/bingbangboom/exoplanet-transit-detection.turkish-offensive-language-detection
Dataset Summary
This dataset is enhanced version of existing offensive language studies. Existing studies are highly imbalanced, and solving this problem is too costly. To solve this, we proposed contextual data mining method for dataset augmentation. Our method is basically prevent us from retrieving random tweets and label individually. We can directly access almost exact hate related tweets and label them directly without any further human interaction in order to solve imbalanced… See the full description on the dataset page: https://huggingface.co/datasets/Toygar/turkish-offensive-language-detection.1-fold-clone-detection-600k-5fold