license: cc-by-nc-4.0
task_categories:
- text-generation
language:
- en
tags:
- synthetic
- B2B
- healthcare
- privacy-safe
size_categories:
- n<1K
pretty_name: Pharmacy_Rx_Questions
Pharmacy_Rx_Questions (Synthetic B2B Dataset Preview)
Add me on Discord: xomohappy for access support, delivery questions, or product questions about this premade commercial dataset.
This is a premium, privacy-compliant, industry-safe synthetic dataset simulating Pharmacy Prescription Inquiries & Advisory Logs for B2B applications.
About this Dataset
This dataset is generated programmatically using large language models combined with a strict data curation and validation layer.
- Privacy-safe: Contains synthetic names, phone numbers, and company identifiers.
- Structured and verified: Schema-validated, formatted, and deduplicated to reduce model overfitting risk.
- Target AI use case: Digital pharmacy apps building automated medication adherence bots.
- Category: Healthcare
Schema Definition
Each record contains the following fields:
inquiry_id(str): Pre-assigned Inquiry ID (e.g. RX-FAQ-XXXX)patient_name(str): Pre-assigned Patient Namemedication_name(str): Prescribed drug (e.g. Lisinopril, Metformin, Atorvastatin)patient_question(str): Inquiry regarding side effects, drug interactions, or missed dosespharmacist_advice(str): HIPAA-compliant, clinically accurate pharmacist advisory response
Get the Commercial Version
Need a larger dataset for production fine-tuning? The matching private repo is HaseebDev/pharmacy_rx_questions-commercial and is available under a commercial license.
- Payment: Lemon Squeezy hosted checkout.
- Delivery: Lemon Squeezy checkout with secure commercial delivery after purchase
- Typical commercial package: 10,000+ records, schema documentation, and quality audit report.
Open the commercial access page
Quality Audit
Dataset Quality Report
Executive Summary
| Metric | Value |
|---|---|
| Status | PASS |
| Quality Score | 94/100 |
| Records Audited | 100 |
| Niche | Pharmacy Prescription Inquiries & Advisory Logs |
| Category | Healthcare |
Quality Gates
| Dimension | Result |
|---|---|
| Schema Conformance | 100.0% (100/100) |
| Duplicate Rows | 0 |
| Duplicate Identity Values | 0 |
| Non-Synthetic Phone Risk | 0 |
| Email Address Count | 0 |
| Max Fuzzy Similarity | 0.445 |
| Average Words Per Descriptive Field | 140.78 |
| Vocabulary Diversity | 0.868 |
| Repeated Phrase Count | 446 |
| Domain Keyword Coverage | 0.7 |
Buyer Assurance
This dataset was checked with deterministic local tooling before publication. The audit verifies schema consistency, uniqueness, text depth, duplicate risk, repeated wording, domain terminology coverage, and obvious PII leakage patterns.
Findings
- MINOR: 446 repeated four-word phrase pattern(s) detected.