| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| language: |
| - en |
| tags: |
| - healthcare |
| - medicine-quality |
| - online-pharmacy |
| - e-pharmacy |
| - social-media |
| - darknet |
| - falsified |
| - consumer-safety |
| - sub-saharan-africa |
| - lmic |
| pretty_name: "Online Pharmacy & E-Pharmacy Regulation (SF Prevalence, Platform Type, Consumer Safety)" |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: licensed_e_pharmacy |
| data_files: data/epharmacy_licensed_e_pharmacy.csv |
| - config_name: social_media_marketplace |
| data_files: data/epharmacy_social_media_marketplace.csv |
| default: true |
| - config_name: rogue_website_darknet |
| data_files: data/epharmacy_rogue_website_darknet.csv |
| --- |
| |
| # Online Pharmacy & E-Pharmacy Regulation Dataset |
|
|
| ## Abstract |
|
|
| **30,000 simulated online medicine purchase observations** (10,000 per scenario) across three e-pharmacy platform types. Variables include platform, product category, seller licensing, prescription verification, SF classification, price, payment method, and consumer demographics. Three scenarios: licensed e-pharmacy (6% SF), social media marketplace (65%), rogue website/darknet (89%). |
|
|
| **This dataset is entirely simulated. It must not be used for regulatory or enforcement decisions.** |
|
|
| ## Validation |
|
|
| <p align="center"> |
| <img src="validation_report.png" alt="Validation Report" width="100%"> |
| </p> |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| dataset = load_dataset("electricsheepafrica/online-pharmacy-regulation", "social_media_marketplace") |
| df = dataset["train"].to_pandas() |
| print(df.groupby('platform_name')['quality_test_result'].apply(lambda x: (x=='fail').mean())) |
| ``` |
|
|
| ## References |
|
|
| 1. WHO (2024). SF medicines sold online. |
| 2. NABP (2023). 95% of online pharmacies non-compliant. |
| 3. Interpol Operation Pangea. Illicit online pharmacy crackdowns. |
| 4. LegitScript. 30,000+ rogue pharmacy websites. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @dataset{esa_epharmacy_2025, |
| title = {Online Pharmacy and E-Pharmacy Regulation Dataset}, |
| author = {{Electric Sheep Africa}}, |
| year = {2025}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/electricsheepafrica/online-pharmacy-regulation} |
| } |
| ``` |
|
|
| ## License |
|
|
| [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
|
|
