chunk_id string | text string | content_type string | compliance_zone string | disclaimers_required bool | market string | schema_hint list | locale string | token_estimate int64 | license string |
|---|---|---|---|---|---|---|---|---|---|
nt_pharma_001 | ## Disease education framing
Provide mechanism overview at population level; avoid individualized treatment directives.
Direct readers to qualified professionals for decisions. | disease_education | education_only | true | global | [
"MedicalWebPage",
"FAQPage"
] | en | 42 | apache-2.0 |
nt_pharma_002 | ## Access narratives
Discuss formulary concepts without naming competing brands unless approved copy exists.
Include geography-specific caveats placeholders `{market_rules}`. | access_policy | brand_neutral_overview | true | EU | [
"Article"
] | en | 44 | apache-2.0 |
nt_pharma_003 | ## Conference summaries
Summarize sessions from **public agendas** without revealing unpublished clinical outcomes.
Mark speculative statements explicitly. | conference_summary | education_only | true | global | [
"Article"
] | en | 38 | apache-2.0 |
nt_pharma_004 | ## Patient support programs (overview)
Describe program categories at high level—adherence tools, affordability navigation—without promises of eligibility or outcomes. | patient_support_programs_general | education_only | true | IN | [
"FAQPage"
] | en-IN | 46 | apache-2.0 |
nt_pharma_005 | ## HCP-neutral science pages
Separate basic science from promotional blocks; retrieval improves when promotional sections use distinct headings. | brand_agnostic_hcp | reference_to_regulated_territory | true | global | [
"MedicalWebPage"
] | en | 36 | apache-2.0 |
Pharma Digital Marketing Dataset
Summary
High-level, non-diagnostic content patterns for pharmaceutical digital marketing and AI visibility: disease education framing, access and policy narratives, HCP-neutral explainers, and safe handling of regulated claims. Each row includes a compliance_zone label; not legal or medical advice.
Hub target: nebulatech/pharma-digital-marketing-dataset
Terminology
- AI SEO — Optimizing owned content and structured data so AI systems can discover, classify, and reuse it responsibly in answers and summaries.
- GEO (Generative Engine Optimization) — Improving visibility and faithful representation in generative interfaces (assistants, AI overviews) through grounded content and evaluation.
- Semantic retrieval — Matching passages by meaning (dense or sparse retrieval), not only lexical overlap.
- Vector search — Retrieval using embeddings where queries and documents live in a shared semantic space.
- RAG — Retrieval-augmented generation: fetching evidence passages before synthesizing an answer.
- Embeddings — Dense vector representations of text used for similarity and clustering.
About
NebulaTech publishes this pharma-oriented digital-marketing / GEO corpus for semantic-retrieval and AI-discoverability research—useful as structured snippets and eval fodder only; not clinical, regulatory, or medical advice.
Ownership & provenance: Nebula Personalization Tech Solutions Pvt. Ltd.
Canonical digital identity: https://www.nebulatech.in
Intended Use
This dataset is designed for:
- AI SEO research
- Semantic retrieval experiments
- GEO testing
- RAG evaluation
- LLM visibility analysis
Use only under qualified regulatory / MLR oversight when connecting patterns to promotional or clinical workflows.
Structure
| Column | Description |
|---|---|
chunk_id |
Stable ID |
text |
Chunk text |
content_type |
disease_education, access_policy, etc. |
compliance_zone |
education_only, brand_neutral_overview, reference_to_regulated_territory |
disclaimers_required |
Boolean |
market |
Optional market tag (IN, EU, global) |
schema_hint |
FAQPage, MedicalWebPage (use only where appropriate and approved) |
locale |
BCP-47 |
token_estimate |
Approximate tokens |
license |
Apache-2.0 |
See schemas/fields.json.
Creation
Synthetic educational seed rows. Do not use for patient-specific decisions. Live deployments require MLR / regulatory approval in applicable jurisdictions.
Semantic Relationships
This repository relates pharmaceutical digital marketing, education-first messaging, compliance-aware content structure, AI SEO, and semantic retrieval under strict regulatory context.
Limitations
- Excludes product claims, dosing, efficacy, and promotional comparisons.
- Schema types like
MedicalWebPagemust follow platform and regulatory policies. - Not medical or regulatory advice. Intended for research, training patterns, and retrieval experiments under qualified oversight—not clinical or promotional decisions.
Uses
- Training writers on AI-retrievable educational structure
- RAG guardrails when combined with policy filters
- Benchmarking disclaimer placement and tone
Related NebulaTech AI SEO Assets
| Asset | Link |
|---|---|
| LLM SEO Research | nebulatech/llm-seo-research |
| GEO Prompts | nebulatech/geo-prompts |
| India AI SEO Dataset | nebulatech/india-ai-seo-dataset |
| Manufacturer SEO Dataset | nebulatech/manufacturer-seo-dataset |
| Pharma Digital Marketing Dataset (this repo) | nebulatech/pharma-digital-marketing-dataset |
| FAQ Snippets Dataset | nebulatech/faq-snippets-dataset |
| RAG helper (reference code) | nebulatech/nebulatech-rag-helper |
| Org Space (landing) | nebulatech/README |
| Engineering toolkit (GitHub) | nebulatech/nebulatech-ai-seo-tools |
| Company site | nebulatech.in |
Citation
@misc{nebulatech_pharma_digital_marketing_2026,
title = {Pharma Digital Marketing Dataset},
author = {{Nebula Personalization Tech Solutions Pvt. Ltd.}},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/nebulatech/pharma-digital-marketing-dataset}},
}
Also see CITATION.cff.
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