datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FactoryNet
FactoryNet
A multi-embodiment industrial time-series corpus: 56,591 end-to-end task executions
(14,847 real, 41,744 simulated), 113M logged timesteps, 7 embodiments, 4 tasks,
27 annotated anomaly types with healthy baselines and counterfactual pairs.
Every signal from every source is mapped into one control-theoretic schema —
Setpoint, Effort, Feedback, Context (S-E-F-C) — so a single dataloader works across a
6-DOF arm and a 4-axis CNC gantry, and commanded versus realized… See the full description on the dataset page: https://huggingface.co/datasets/Forgis/FactoryNet.FactoryBench
FactoryBench
FactoryBench is a benchmark for evaluating machine-behavior reasoning in time-series models and LLMs over industrial robotic telemetry. Question-answer pairs are organised along the four levels of Pearl's causal hierarchy:
Level
Capability
Example
L1 — State
Identify the operational state from raw signals
"Which fault, if any, is occurring in this episode?"
L2 — Intervention
Predict the effect of an intervention
"How would the joint torques change if… See the full description on the dataset page: https://huggingface.co/datasets/FactoryBench/FactoryBench.factorynet
FactoryNet
A multi-embodiment industrial time-series corpus: 56,591 end-to-end task executions
(14,847 real, 41,744 simulated), 113M logged timesteps, 7 embodiments, 4 tasks,
27 annotated anomaly types with healthy baselines and counterfactual pairs.
Every signal from every source is mapped into one control-theoretic schema —
Setpoint, Effort, Feedback, Context (S-E-F-C) — so a single dataloader works across a
6-DOF arm and a 4-axis CNC gantry, and commanded versus realized… See the full description on the dataset page: https://huggingface.co/datasets/FactoryNet4/factorynet.factory-manipulation-videos
Factory manipulation videos
Procedural Robotics is open sourcing a small set of our factory data so teams can assess its quality. The videos show workers performing factory tasks.
Contents
Seven continuous takes, 109 minutes in total.
Task
Station
Worker
Duration
File
cardboard manipulation
01
041
23.6 min
cardboard_manipulation_station01_worker041.mp4
cardboard manipulation
04
026
16.5 min
cardboard_manipulation_station04_worker026.mp4
defect… See the full description on the dataset page: https://huggingface.co/datasets/procedural-robotics/factory-manipulation-videos.factory-traces
ego2robot-factory-episodes
Ego2Robot: Factory Manipulation Episodes
Dataset Description
50 curated episodes of factory worker manipulation tasks, converted from egocentric video into LeRobot-compatible format for robot learning research.
Key Features
50 episodes (~1,800 frames total)
Real factory work from 85 manufacturing facilities
10 skill clusters discovered via unsupervised learning
LeRobot v3.0 format with observations + pseudo-actions
Rich annotations: VideoMAE… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz041/ego2robot-factory-episodes.peft-factoryego2robot-factory-episodes
Ego2Robot: Factory Manipulation Episodes
Dataset Description
50 curated episodes of factory worker manipulation tasks, converted from egocentric video into LeRobot-compatible format for robot learning research.
Key Features
50 episodes (~1,800 frames total)
Real factory work from 85 manufacturing facilities
10 skill clusters discovered via unsupervised learning
LeRobot v3.0 format with observations + pseudo-actions
Rich annotations: VideoMAE embeddings, CLIP… See the full description on the dataset page: https://huggingface.co/datasets/msunbot1/ego2robot-factory-episodes.wooden_window_factory_01_enriched_v2
Real industrial data, AI-ready for Physical AI
ORION WWF1 – Certified Sample Pack v2.0 (Enriched)
Version
Status
Sector
Pipeline
v2.0-Enriched
🟢 Level 3 Certified
Industrial-Manufacturing
Orion Unified V5.2
🌟 The Evolution: Beyond Anonymization
The ORION WWF1 v2.0 Enriched pack represents the professional evolution of our baseline industrial dataset. While previous versions focused on privacy-first anonymization, v2.0 transforms raw video… See the full description on the dataset page: https://huggingface.co/datasets/Orion-The-Lab/wooden_window_factory_01_enriched_v2.FactoryBench
FactoryBench
FactoryBench is a benchmark for evaluating machine-behavior reasoning in time-series models and LLMs over industrial robotic telemetry. Question-answer pairs are organised along the four levels of Pearl's causal hierarchy:
Level
Capability
Example
L1 — State
Identify the operational state from raw signals
"Which fault, if any, is occurring in this episode?"
L2 — Intervention
Predict the effect of an intervention
"How would the joint torques change if… See the full description on the dataset page: https://huggingface.co/datasets/FactoryNet3/FactoryBench.isaacsim-factory-conveyor-sort
Isaac Sim 공장 컨베이어 분류 데이터셋 (Franka, LeRobot v3.0)
NVIDIA Isaac Sim 5.1 에서 생성한 pick-and-place 시연 데이터입니다.
컨베이어 벨트(0.25 m/s)로 운반되어 오는 큐브를 Franka Panda 가 색에 따라 분류합니다:
파란 큐브 → 왼쪽 바구니, 빨간 큐브 → 오른쪽 바구니.
항목
값
에피소드
300 (파랑 150 / 빨강 150)
프레임
155,789 @ 30 fps (총 시뮬 시간 86.5 분)
카메라
top (조감, 벨트 끝·바구니), side (측면), wrist (Franka panda_hand 부착) — 320×240
로봇
Franka Panda (7 DoF + 평행 그리퍼), 컨베이어 끝 받침대 위
시연 정책
스크립트형 전문가 (RMPflow 반응형 모션 정책), 성공한 에피소드만 저장 (성공률 94.3%)
무작위화
큐브 색, 벨트… See the full description on the dataset page: https://huggingface.co/datasets/geonmin-kim/isaacsim-factory-conveyor-sort.factory-traces-tmp
FactoryBench
FactoryBench
FactoryBench is a benchmark for evaluating machine-behavior reasoning in time-series models and LLMs over industrial robotic telemetry. Question-answer pairs are organised along the four levels of Pearl's causal hierarchy:
Level
Capability
Example
L1 — State
Identify the operational state from raw signals
"Which fault, if any, is occurring in this episode?"
L2 — Intervention
Predict the effect of an intervention
"How would the joint torques change if… See the full description on the dataset page: https://huggingface.co/datasets/Forgis/FactoryBench.factory-manipulation-lerobot-v2wooden_window_factory_01_enriched_v1.5
Real industrial data, AI-ready for Physical AI
ORION WWF1 – Enriched Sample Pack v1.5 (Physical AI Edition)
🌟 The Evolution: Beyond Anonymization
The ORION WWF1 v1.5 Enriched pack is the professional evolution of our baseline industrial dataset. While version 1.0 focused on privacy-first anonymization, v1.5 transforms raw video into actionable intelligence.
This pack includes 10 representative clips from a high-intensity wood-processing facility, now… See the full description on the dataset page: https://huggingface.co/datasets/Orion-The-Lab/wooden_window_factory_01_enriched_v1.5.cypher-factory
Cypher-Factory
Generated Cypher benchmark data. Use the retrieval, analytic, or analytic-v2 viewer configuration to browse queries.
The queries were generated and validated for:
Neo4j Community Edition 5.26.20
Neo4j Graph Data Science 2.13.4
Configurations
retrieval: read-only Cypher queries, 5,000 per graph, generated with the SQL-Factory prompts translated to Cypher.
analytic: the first graph-analytics pools, 500 per graph. Generation used a fixed workflow… See the full description on the dataset page: https://huggingface.co/datasets/guangchen/cypher-factory.health-data-factory-datasetsrobot-reel-factory-twin
Robot Reel Factory Twin: close the loop
12 paired simulated shifts of a factory and campus, each run twice: once with
the digital twin's commands applied (closed loop) and once with the identical
twin only advising (shadow). Both modes of a pair share every disturbance and
sensor-noise sample.
Over 12 pairs
Shadow twin
Closed loop
CNC 2 spindle failures
11
0
Billing intervals over the 520 kW limit
8
0
Pairs with more good parts
10 of 12 (2 fewer)… See the full description on the dataset page: https://huggingface.co/datasets/glayguo/robot-reel-factory-twin.ai-data-factory-real-estate
AI Data Factory — Real Estate Dataset
Autonomous AI Data Factory for RAG and AI Agents
High-quality synthetic real estate property dataset automatically generated and updated hourly via GitHub Actions, published to Hugging Face for AI training, retrieval-augmented generation (RAG), and agent training.
📊 Dataset Overview
Total Records: Continuously growing (100+)
Update Frequency: Hourly (automated via GitHub Actions)
License: MIT (Commercial use allowed)
Format:… See the full description on the dataset page: https://huggingface.co/datasets/Sekirkallc/ai-data-factory-real-estate.cybersecurity-reasoning-cot-v1
🛡️ Expert Cybersecurity Reasoning Dataset (CoT)
This dataset contains 89 high-fidelity, expert-verified reasoning records focusing on complex cybersecurity attack vectors. It is designed specifically for fine-tuning Large Language Models (LLMs) on sophisticated security analysis and threat logic.
💎 Key Highlights
Niche Rarity 1.0: Covers rare and emerging threats with zero prior representation in open-source datasets.
Advanced Vectors: Includes detailed reasoning for… See the full description on the dataset page: https://huggingface.co/datasets/expertdata-factory/cybersecurity-reasoning-cot-v1.record-first-factory-sideThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 5,
"total_frames": 5962,
"total_tasks": 2,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/MarioRossi1234/record-first-factory-side.record-first-factoryThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 32,
"total_frames": 28622,
"total_tasks": 2,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:32"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/MarioRossi1234/record-first-factory.factory-optimization
CatQualia factory operations corpus — optimisation, upgrades and decision records
1,094 rows · 1,323,000 bytes · JSON Lines.
What this is
Operational material from a self-improving research factory: what was optimised, what tools were upgraded, which decisions the operator made, and the mechanics of the firing cycle that schedules the work.
Provenance
This group merges 8 source corpora. Every row carries a _source_dataset field
naming the file it… See the full description on the dataset page: https://huggingface.co/datasets/CatQualia/factory-optimization.preference_data_llama_factory_len_15k_texthealth-factory-contextual-datasetFactoryBench-KnowledgeGraphpreference_data_llama_factory_with_urlspreference_data_llama_factory_len_8k_text_with_urlshealth-factory-dataset-testpreference_data_llama_factory_len_15k_text_with_urls