Contributing
The dataset repository is privately managed by maintainers. All contributions flow through the UI Form — no repository access needed.
Before You Begin
Read Data Spec — required fields, validation rules, dropdown values
Read Schema Reference — standard table and column names
Read Examples — see what good entries look like
Base your use case on a real or realistic business scenario from any domain
Submission Steps
Step 1 — Open the UI Form
Open the Query Entry Form in your browser. No login or account needed.
Step 2 — Fill All Required Fields
Complete all 8 sections. The Live JSON panel updates in real time. Required sections: Meta, Business Question, Business Context, Metrics & Aggregation, Schema Tables, Data Model Layers. Optional: Chain of Thought, SQL Answer.
Step 3 — Copy the JSON
Copy the full JSON output from the Live JSON panel on the right side of the form.
Step 4 — Submit to Maintainers
Paste your JSON in a new Discussion thread with the title format:
[Submission] <domain>_<topic>_<short_description>
Maintainers will review and ingest into the dataset.
Contribution Guidelines
Do:
Use real-world or realistic business scenarios from any supported domain
Write
instructionas a business user would naturally ask itWrite
aggregation_logicin plain language — avoid SQL jargonUse standard schema table names from Schema Reference
Include SQL if possible — significantly improves dataset quality
Make sure
required_metrics_kpislist matches keys inaggregation_logic
Don’t:
Include sensitive data, real customer names, or PII
Reference internal systems or proprietary company names
Use non-standard table names without noting the variation
Submit incomplete entries with empty required fields
Submit duplicates already covered in Examples
Review Process
You post JSON in a Discussion thread
Maintainer reviews for quality, correctness, completeness
Approved → ingested into dataset, thread marked resolved
Changes needed → feedback left in the thread
Not suitable → declined with reason
Target review time: 7 days.
Quality Checklist
Before submitting verify:
[ ] All required sections filled
[ ]
required_metrics_kpismatches keys inaggregation_logic[ ]
data_model.factsanddata_model.dimsnon-empty[ ] SQL (if provided) runs against standard schema without errors
[ ] No proprietary, internal, or PII data included