| --- |
| license: mit |
| size_categories: |
| - n<1K |
| --- |
| |
| --- |
| configs: |
| - config_name: raw |
| data_files: raw/pharma_paragraph_process.jsonl |
| - config_name: instruction |
| data_files: instruction/pharma_instruction_dataset.jsonl |
| - config_name: preference |
| data_files: preference/pharma_preference_dataset.jsonl |
| --- |
|
|
| # Pharma Fine-Tuning Data |
|
|
| Three datasets used across the 3-stage fine-tuning pipeline in |
| [llm-finetuning-playbook](https://github.com/sivasaiyadav8143/llm-finetuning-playbook/tree/main): |
|
|
| - **raw**: cleaned paragraphs extracted from the pharma PDF (Stage 1 — continued pretraining) |
| - **instruction**: instruction/response pairs (Stage 2 — SFT) |
| - **preference**: prompt/chosen/rejected triples (Stage 3 — DPO) |
|
|
| Source corpus: Metformin pharmacology, statin/ezetimibe lipid-lowering therapy, |
| mRNA vaccines, AI in drug discovery, clinical trials & pharmacovigilance. |
|
|
| Educational project — not medical advice. |
|
|
