Zia Robotic Fleet Telemetry — 1B Synthetic Records
Dataset Description
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 6 distinct robot archetypes. Includes warehouse AMRs, drones, industrial arms, and autonomous vehicles.
- Advanced Sensor Metrics: Includes 3D spatial positioning and battery drain profiles. Features continuous sensor drift tracking and cryptographic row integrity verification.
Instant Free Sample
Test the data quality immediately. No account or signup required.
Download 50-Row Free Sample (CSV)
Try the AI Challenge
Paste this free sample into Gemini or ChatGPT. Ask the AI to run a predictive maintenance analysis. Both models independently flag the embedded anomalies and isolate the specific failing robot IDs. They also write functional Python code to graph the sensor drift. Independently scored 100/100 for realism — no scrubbing necessary.
Access & Pricing
1. Full Dataset Access — $50.00
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 — $499.99
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 |
| facility_id | string | Spatial origin |
| sensor_type | string | lidar, imu, camera, radar |
| 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 (0.0-1.0) |
| event_type | string | normal, anomaly, fault, emergency_stop |
| 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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