datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pharmacy-ner-sft
Pharmacy NER — Drug Entity Extraction
Part of the AxisMapper Medical AI Suite — 16 domain-specific SFT datasets for fine-tuning medical LLMs.
Built by AmareshHebbar | Studio Ilios / Humanova Minds
What this dataset does
Clinical/biomedical text → drug name, dosage, frequency, route, indication
Why download this
Automate medication extraction from clinical notes, discharge summaries, or biomedical literature. Powers medication reconciliation and… See the full description on the dataset page: https://huggingface.co/datasets/AmareshHebbar/pharmacy-ner-sft.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… See the full description on the dataset page: https://huggingface.co/datasets/HaseebDev/pharmacy_rx_questions.Pharmacy_Identity_Synthetic_QA
Eczacılık Soru-Cevap Veri Seti (Turkish Pharmacy Synthetic QA)
Veri Seti Özeti
Bu veri seti, Türkçe konuşan bir eczacılık/ilaç bilgisi asistanının supervised fine-tuning (SFT)
ile eğitilmesi amacıyla hazırlanmıştır. Toplam 1030 konuşma içerir:
1000 alan bilgisi (domain) örneği — gerçek, hakemli eczacılık/farmasötik bilim makalelerinin
özetlerinden (ÖZ / Amaç / Gereç ve Yöntem / Sonuç ve Tartışma) üretilmiş soru-cevap çiftleri.
30 kimlik (identity/persona) örneği… See the full description on the dataset page: https://huggingface.co/datasets/menesnas/Pharmacy_Identity_Synthetic_QA.