A production-grade synthetic dataset containing 1,000,000,000 rows of high-fidelity robotics telemetry. Generated by Zia Data Labs for machine learning engineers, robotics researchers, and industrial IoT developers.

Massive Scale: 1B rows pre-sharded into 10 Parquet files (~111 GB). Simulates continuous fleet operations at production scale.
Multi-Asset Coverage: Telemetry spans multiple robot archetypes, including warehouse AMRs, drones, industrial arms, autonomous vehicles, surgical robots, and collaborative cobots.
Advanced Sensor Metrics: Includes 3D spatial positioning and battery drain profiles. Features continuous sensor drift tracking and cryptographic row integrity verification.

⚠️ SAFETY & FIDELITY NOTICE — Zia-Data-Labs

This dataset is high-fidelity synthetic data engineered to mirror real-world patterns with exceptional accuracy, useful for realistic testing of predictive-maintenance pipelines and ML models.

This dataset is strictly intended for research, evaluation, and development within isolated sandbox or staging environments.

Zia-Data-Labs provides all datasets on an "as-is" basis. We do not assume liability for downstream model behavior, deployment risks, or production system impacts. Users are solely responsible for conducting independent safety audits prior to any live deployment.

Instant Free Sample

Test the data quality immediately. No account or signup required.

Download 50-Row Free Sample (CSV)

Access & Pricing

1. Full Dataset Access — $99.00

All 1,000,000,000 rows on Hugging Face.

Pay securely via PayPal: Click Here to Pay

Email your Hugging Face username to: zia.data.team@protonmail.com

Your account will be whitelisted within 24 hours.

2. Custom 1 Billion Row Dataset — $999.99

Built to your exact specifications. Contact zia.data.team@protonmail.com for details.

Need enterprise-scale licensing (28B+ rows)? Contact zia.data.team@protonmail.com — custom quotes available with bulk pricing.

How to Load

from datasets import load_dataset

# Load the dataset
ds = load_dataset("ziadatalabs/Zia-Robotic-Telemetry-1B-Synthetic")

# Print the first row
print(ds['train'][0])

Data Schema & Fields

Field Name	Data Type	Description
timestamp_ms	int64	Epoch millisecond timestamp
robot_id	string	Unique asset identifier
robot_type	string	drone, warehouse_amr, industrial_arm, autonomous_vehicle, surgical, mobile_ground, inspection_crawler, collaborative_cobot
facility_id	string	Spatial origin
firmware_version	string	Robot firmware build
operator_id	string	Assigned operator or automated system
sensor_type	string	lidar, imu, camera, radar, gyroscope, encoder, ultrasonic, force_torque, thermal, gps
task_id	string	Active task/job identifier
x_position	float64	3D kinematic X coordinate
y_position	float64	3D kinematic Y coordinate
z_position	float64	3D kinematic Z coordinate
drift_value	float64	Hardware deviation tracking
drift_corrected	bool	Calibration state
battery_level	float64	Battery life state
network_latency_ms	float64	Network latency in milliseconds
event_type	string	normal, anomaly, fault, emergency_stop, calibration, startup, shutdown, maintenance
score	float64	Model confidence score
tag	string	Metadata markers
sha256_hash	string	Per-row SHA-256 integrity hash

Technical Specifications

Format: Apache Parquet (10 Shards)
Total Records: 1,000,000,000
Total Size: ~111 GB
License: Proprietary / Custom Commercial (Internal R&D and AI Training)
Producer: Zia Data Labs (2026)
Strictly Prohibited: Public redistribution, resale, or mirroring of the raw Parquet shards is forbidden under our commercial terms.

Citation

Zia Data Labs, 2026 https://huggingface.co/datasets/ziadatalabs/Zia-Robotic-Telemetry-1B-Synthetic

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Total file size:

111 GB