datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ppe-detectionPPE_Detectionppe-dataset
PPE Detection Dataset (3-Class)
딥러닝 기반 건설현장 안전 장비(PPE) 착용 모니터링을 위한 데이터셋
Dataset Description
개인보호구(Personal Protective Equipment) 착용/미착용 상태를 감지하기 위한 YOLO 형식의 객체 탐지 데이터셋입니다.
주요 특징:
✅ 헬멧 착용 감지 (helmet)
⚠️ 헬멧 미착용 감지 (head) - 실시간 안전 경고 가능
✅ 안전조끼 착용 감지 (vest)
15,500개 이미지, 60,991개 객체
YOLOv8 최적화 포맷
Classes
Class ID
Class Name
Description
0
helmet
안전 헬멧 착용 ✅
1
head
헬멧 미착용 (머리만) ⚠️
2
vest
반사 안전 조끼 착용 ✅
Dataset Statistics
Split… See the full description on the dataset page: https://huggingface.co/datasets/jhboyo/ppe-dataset.PPE-Human-Preference-V1
Overview
This contains the human preference evaluation set for Preference Proxy Evaluations.
This dataset is meant for benchmarking and evaluation, not for training.
Paper
Code
License
User prompts are licensed under CC-BY-4.0, and model outputs are governed by the terms of use set by the respective model providers.
Citation
@misc{frick2024evaluaterewardmodelsrlhf,
title={How to Evaluate Reward Models for RLHF},
author={Evan Frick and Tianle Li and… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/PPE-Human-Preference-V1.PPE-GPQA-Best-of-K
Overview
This contains the GPQA correctness preference evaluation set for Preference Proxy Evaluations.
The prompts are sampled from GPQA.
This dataset is meant for benchmarking and evaluation, not for training.
Paper
Code
License
User prompts are licensed under CC BY 4.0, and model outputs are governed by the terms of use set by the respective model providers.
Citation
@misc{frick2024evaluaterewardmodelsrlhf,
title={How to Evaluate Reward Models for… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/PPE-GPQA-Best-of-K.PPE_detection
Dataset Labels
['ad', 'airsweeper', 'bombtower', 'canon', 'clancastle', 'eagle', 'inferno', 'kingpad', 'mortar', 'queenpad', 'rcpad', 'scattershot', 'th13', 'wardenpad', 'wizztower', 'xbow']
from datasets import load_dataset
dataset = load_dataset("Chapian/PPE_detection")
PPE-MMLU-Pro-Best-of-K
Overview
This contains the MMLU-Pro correctness preference evaluation set for Preference Proxy Evaluations.
The prompts are sampled from MMLU-Pro.
This dataset is meant for benchmarking and evaluation, not for training.
Paper
Code
License
User prompts are licensed under MIT, and model outputs are governed by the terms of use set by the respective model providers.
Citation
@misc{frick2024evaluaterewardmodelsrlhf,
title={How to Evaluate Reward… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/PPE-MMLU-Pro-Best-of-K.PPE-MATH-Best-of-K
Overview
This contains the MATH correctness preference evaluation set for Preference Proxy Evaluations.
The prompts are sampled from MATH.
This dataset is meant for benchmarking and evaluation, not for training.
Paper
Code
License
User prompts are licensed under MIT, and model outputs are governed by the terms of use set by the respective model providers.
Citation
@misc{frick2024evaluaterewardmodelsrlhf,
title={How to Evaluate Reward Models for… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/PPE-MATH-Best-of-K.PPE-MBPP-Plus-Best-of-K
Overview
This contains the MBPP-Plus correctness preference evaluation set for Preference Proxy Evaluations.
The prompts are sampled from MBPP-Plus.
This dataset is meant for benchmarking and evaluation, not for training.
Paper
Code
License
User prompts are licensed under Apache-2.0, and model outputs are governed by the terms of use set by the respective model providers.
Citation
@misc{frick2024evaluaterewardmodelsrlhf,
title={How to Evaluate… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/PPE-MBPP-Plus-Best-of-K.PPE-IFEval-Best-of-K
Overview
This contains the IFEval correctness preference evaluation set for Preference Proxy Evaluations.
The prompts are sampled from IFEval.
This dataset is meant for benchmarking and evaluation, not for training.
Paper
Code
License
User prompts are licensed under Apache-2.0, and model outputs are governed by the terms of use set by the respective model providers.
Citation
@misc{frick2024evaluaterewardmodelsrlhf,
title={How to Evaluate Reward… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/PPE-IFEval-Best-of-K.edge-agent-reasoning-websearch-260k
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/ppenner/edge-agent-reasoning-websearch-260k.pp-envoy15000roboflow-construction-ppe-fruwxppe-detection-datasetPPE-128ppe-benchmark-eval
PPE Benchmark Eval Set (v1)
A held-out, human-verified benchmark for evaluating vision-language models on
personal protective equipment (PPE) detection — specifically hardhat and
safety-vest presence — framed as a VQA-style classification task.
What this is
96 images, balanced 24/24/24/24 across the four hardhat × vest combinations
(yes/yes, yes/no, no/yes, no/no). Sourced from a forked, filtered subset of
the karabuk-university PPE dataset
on Roboflow Universe… See the full description on the dataset page: https://huggingface.co/datasets/khadijah00/ppe-benchmark-eval.PPE-DataSetppe-qwen3-vl-32bPPE_Detection
PPE Detection Dataset 🦺🪖😷
A high-quality, annotated dataset for Personal Protective Equipment (PPE) detection in industrial and construction environments.The dataset is suitable for training object detection models such as YOLOv8, YOLOv5, Detectron2, etc.
1. Dataset Summary
This dataset contains images annotated with 6 PPE classes:
Vest
Safety Shoe
Mask
Helmet
Goggles
Gloves
It is designed for:
Construction site safety compliance
Industrial worker… See the full description on the dataset page: https://huggingface.co/datasets/51ddhesh/PPE_Detection.ppe-result-dataNBMSet24 Dataset from https://arxiv.org/abs/2412.03633PPE_v10PPE_Detection
PPE Detection Dataset 🦺🪖😷
A high-quality, annotated dataset for Personal Protective Equipment (PPE) detection in industrial and construction environments.The dataset is suitable for training object detection models such as YOLOv8, YOLOv5, Detectron2, etc.
1. Dataset Summary
This dataset contains images annotated with 6 PPE classes:
Vest
Safety Shoe
Mask
Helmet
Goggles
Gloves
It is designed for:
Construction site safety compliance
Industrial worker… See the full description on the dataset page: https://huggingface.co/datasets/ggilabert/PPE_Detection.main_ppe_subset
Dataset Card for main_dataset_120
This is a FiftyOne dataset with 1945 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/main_ppe_subset")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/main_ppe_subset.ppe-14classesppe-detection-clean-2ppe-standards-cross-reference-2026
Canonical landing page: https://www.smartqhse.com/datasets/ppe-standards-cross-reference-2026
PPE Standards Cross-Reference 2026 — ANSI vs EN vs AS/NZS
Cross-reference of PPE standards across ANSI/ISEA (US), EN/EN ISO (EU/UK), and AS/NZS (Australia/NZ) frameworks. ~80-100 rows covering eye, head, foot, hand (cut/chemical/heat/electrical), hi-vis, hearing, respiratory, fall protection, and arc flash. Maps equivalent standard numbers and key test parameters/ratings across… See the full description on the dataset page: https://huggingface.co/datasets/SmartQHSE/ppe-standards-cross-reference-2026.PPE-Global
PPE-Global
Version 1.1 — changes from v1.0 (GIFT woodiness re-fetched against every species; observer-disjoint split_observer added; every other table identical) are itemised in PROVENANCE.md §6–7.
A global plant-phenology dataset built from iNaturalist research-grade observations.
Metadata only — imagery is referenced by photo_id and fetched from the public
inaturalist-open-data S3 bucket (see Images below).
Extends its predecessor Pheno3M/PPE (3,573,640 observations, 6,825… See the full description on the dataset page: https://huggingface.co/datasets/dcher95/PPE-Global.ppe-detectionPPE-Human-Preference-V1
Overview
This contains the human preference evaluation set for Preference Proxy Evaluations.
This dataset is meant for benchmarking and evaluation, not for training.
Paper
Code
License
User prompts are licensed under CC-BY-4.0, and model outputs are governed by the terms of use set by the respective model providers.
Citation
@misc{frick2024evaluaterewardmodelsrlhf,
title={How to Evaluate Reward Models for RLHF},
author={Evan Frick and… See the full description on the dataset page: https://huggingface.co/datasets/Kanika0110/PPE-Human-Preference-V1.