Details of 11,000 Drugs
This dataset provides structured information on more than 11,000 drugs, including their names, components, indications, and manufacturers. Ideal for health research and medical AI projects.
Description
This dataset brings together detailed textual information on more than 11,000 drugs, from an online pharmacy platform. Each entry contains the name of the medication, its composition, its use, its side effects, its dosage, and its manufacturer. It provides a solid foundation for any application related to the pharmaceutical field or digital health.
What is this dataset for?
- Create search engines or AI assistants in the pharmaceutical field
- Analyze the most common medical trends or components
- Feeding health recommendation systems
Can it be enriched or improved?
Yes, this dataset can be enriched by adding clinical data, multilingual translations, or annotations on contraindications. It can also be used to train medical entity classification or extraction (NER) models.
🔎 In summary
🧠 Recommended for
- AI health students
- Medical assistant projects
- Pharmaceutical analysts
🔧 Compatible tools
- Pandas
- SpacY
- Scikit-learn
- FastAPI
- Streamlit
💡 Tip
Use an NER model to automatically extract active ingredients from text descriptions.
Frequently Asked Questions
Does this dataset contain therapeutic indications?
Yes, each entry contains information on the use of the medication, its effects and its composition.
Can it be used in a commercial project?
Yes, the CC0 license allows free use, including for commercial purposes.
Is this dataset multilingual?
No, the data is in English only, but it is possible to translate it or add a multilingual layer.
