| --- |
| license: other |
| license_name: proprietary-commercial |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| - time-series-forecasting |
| language: |
| - en |
| tags: |
| - robotics |
| - synthetic |
| - telemetry |
| - iot |
| - industrial-iot |
| - autonomous-vehicles |
| - warehouse-automation |
| - drones |
| - sensor-data |
| - predictive-maintenance |
| - anomaly-detection |
| - parquet |
| - large-scale |
| - synthetic-data |
| size_categories: |
| - 1B<n<10B |
| pretty_name: Zia Robotic Fleet Telemetry — 1B Synthetic Records |
| extra_gated_heading: Access Verification Required |
| extra_gated_description: >- |
| To access this 1B row dataset, you must first complete the $99.00 access |
| fee via PayPal and provide your payment details below. |
| extra_gated_button_content: Request Access |
| extra_gated_fields: |
| PayPal Transaction ID or Payer Email: text |
| --- |
| |
| # 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 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](https://www.paypal.com/ncp/payment/QE5UPRTDE5F44) |
|
|
| 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 |
|
|
| ```python |
| 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 |
