🧪 Local Synthesis Instructions¶
The following industrial datasets may be Restricted. You cannot download them directly from this repository. Instead, you can use our Statistical Simulators to generate your own compliant local copy.
🚀 Quick Start (One Command)¶
Run the following to generate 50 records for your local clinical, energy, or industrial research:
python industries/healthcare/generators/clinical_generator.py
python industries/energy/generators/energy_generator.py
python industries/manufacturing/generators/industrial_generator.py
🧠 Why are we doing this?¶
- Privacy Protection: Raw clinical data often contains sensitive PII that cannot be redistributed.
- License Compliance: Many industrial datasets have restrictive terms that prohibit embedding them in Public repos.
- User Accountability: By using these Generators, you assume the legal responsibility for your local environment. You are responsible for ensuring you have the rights to the source data used to calibrate these simulators.
📊 Verification¶
Each generator produces a _provenance block in the JSON output, proving the data was synthetically generated.
Example Production Record:
{
"subject_id": 123456,
"primary_metric": 118.5,
"secondary_metric": 78.2,
"status": "Stable",
"_provenance": {
"synthetic": true,
"source": "[your-input-source]",
"generated_at": "2026-03-23T09:15:00Z",
"compliance_disclaimer": "User assumes all liability for license compliance."
}
}
🛠️ Customization¶
To increase the record count, edit the __main__ block in the generator scripts or call them via the API: