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---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: instruction
dtype: string
splits:
- name: train
num_bytes: 4328618
num_examples: 3000
download_size: 1750950
dataset_size: 4328618
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "medical_biological_instruction_format"
Best advice:
- drop the instruction column or use your choice of high-functioning llm to generate variant prompts
- for medical and science database expansions, i'm having excellent results using:
- [SciPhi/SciPhi-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k)
- [TheBloke/SciPhi-Mistral-7B-32k-GGUF](https://huggingface.co/TheBloke/SciPhi-Mistral-7B-32k-GGUF)
- Or if you have RAG setup on a corpus:
- [SciPhi/Sensei-7B-V2](https://huggingface.co/SciPhi/Sensei-7B-V2)
- [TheBloke/Sensei-7B-V1-GGUF](https://huggingface.co/TheBloke/Sensei-7B-V1-GGUF)
- [Falconsai/medical_summarization](https://huggingface.co/Falconsai/medical_summarization)
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