quailrobot/pred-maint-v1-sample

QM Predictive Maintenance Sensors - Free Sample

Buy the full commercial edition: $39 USD -> Polar checkout, instant download
This free sample is non-commercial (CC BY-NC-SA 4.0). The paid full edition has a commercial licence.

Summary

Synthetic hourly industrial sensor data from 400 rotating machines with labelled failures and remaining useful life, for predictive-maintenance models; the paid full edition can be used commercially.

• Best for: failure-prediction and RUL prototyping, condition-monitoring dashboards, teaching, demos without plant data
• Not for: certifying or maintaining real equipment

Quick start

from datasets import load_dataset
ds = load_dataset("quailrobot/pred-maint-v1-sample", split="train")  # main table: sensors_sample.csv
# pandas alternative: pd.read_csv("hf://datasets/quailrobot/pred-maint-v1-sample/sensors_sample.csv")

Facts

• Task: time-series / tabular: failure prediction (fail_within_72h), RUL regression, fault-type classification, anomaly detection
• Labels: failures.csv (failure_time, failure_type, degradation_start); per-hour rul_hours, fail_within_72h, developing_fault = bearing_wear, misalignment, overheating, seal_leak, lubrication_loss
• Full edition size: 3,504,000 hourly rows, 400 machines, 365 days, 358 failures (zip 38 MB)
• Free sample size: 288,000 rows = first 30 days, 10 failures (sensors_sample.csv); labels right-censored at the window end
• Format: full: Parquet (sensors) + CSV (machines, failures); sample: CSV
• What's included (full edition): sensors.parquet, machines.csv, failures.csv, stats.json, benchmark.json, bench_pred_maint.py, README.md, LICENSE.txt
• Price: $39 USD; checkout may display the equivalent in your local currency
• Buy URL (primary): https://buy.polar.sh/polar_cl_K1eYrk4zv0iFgh6m67akS5ump9xqUXn1VgZJo2fE2w5
• Licence (full edition): LicenseRef-QuailModel-Commercial (commercial use allowed, no resale of the data)
• Licence (free sample): CC-BY-NC-SA-4.0
• Validation: Our own test on the full edition: gradient boosting on 24 h / 168 h rolling features, time split (train Jan-Aug, test Sep-Dec) -> ROC-AUC 0.889, PR-AUC 0.470 (benchmark.json + script included).
• Data source: 100% synthetic, generated by QuailModel with AI assistance (generator code written with an AI model)
• Catalog (all QuailModel datasets, catalog.json, llms.txt): https://quailrobot-quailmodel.static.hf.space
• Last updated: 2026-10-10

Validation

Our own test on the full edition: gradient boosting on 24 h / 168 h rolling features, time split (train Jan-Aug, test Sep-Dec) -> ROC-AUC 0.889, PR-AUC 0.470 (benchmark.json + script included).

Price & licence

• Full edition: $39 USD. One-time payment, instant download after checkout: https://buy.polar.sh/polar_cl_K1eYrk4zv0iFgh6m67akS5ump9xqUXn1VgZJo2fE2w5
• QuailModel Commercial Dataset Licence (SPDX: LicenseRef-QuailModel-Commercial): you may train, evaluate and ship models, including in commercial products. You may not resell or redistribute the dataset itself.
• Free sample (this page): CC BY-NC-SA 4.0 - free for non-commercial use.

Limitations

• 100% synthetic: not validated against real plant data.
• Hourly resolution only; no raw vibration waveforms.
• rul_hours, fail_within_72h and developing_fault are labels - exclude them from model inputs.

Custom dataset of YOUR object ($249)

Need data of YOUR object? Custom synthetic dataset, $249 USD -> order on Polar

• Note: this is an image / object-detection service (not tabular data).
• What you get: 2,000 labelled photoreal synthetic images (640x640 JPEG) of your own object or scenario (product, part, tool, drone, package, defect...), up to 3 classes, YOLO bounding boxes + data.yaml, train/val/test split, quality report
• Licence: commercial use allowed
• Price: $249 USD one-time; one round of adjustments included
• Delivery: typically 3-5 business days after we receive your reference photos + rough dimensions
• Optional sim-to-real test: send ~200 of your own labelled real images and we report how much the synthetic data improves a detector on them
• Refund: full refund if we cannot deliver your request (14-day refund policy)
• Limits: only objects you own or are allowed to use; no weapons or anything meant to harm people; no copied third-party 3D assets
• Order URL: https://buy.polar.sh/polar_cl_AQu6LzRtqiQmKPlgPt0zePBtvWjJI4vULeFMQ4NLHH9
• Details + contact: https://quailrobot-quailmodel.static.hf.space

This free sample: 288,000 rows = first 30 days, 10 failures (sensors_sample.csv); labels right-censored at the window end. Full commercial edition: 3,504,000 hourly rows, 400 machines, 365 days, 358 failures (zip 38 MB). Fully synthetic data; summary, facts, validation and limitations are in the block above.

Files

sensors (machine_id, timestamp, 8 sensor columns, rul_hours, fail_within_72h, developing_fault), machines.csv (type, site, age_years, rated_rpm), failures.csv (machine_id, failure_time, failure_type, degradation_start).

How it was made

Produced by QuailModel's own simulator, including legitimate activity alongside the labelled patterns. Labels are exact, because they are known by construction.

Credits

No third-party data was used.

Licence

Sample edition: CC BY-NC-SA 4.0 (non-commercial). The full commercial edition is sold by QuailModel (see the buy link).

Disclosure

Generated by QuailModel with AI assistance (generator code written with an AI model); all data is synthetic / computer-generated. Validate on your own real data before production use.