metadata

language:
  - en
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
- TheBloke/SciPhi-Mistral-7B-32k-GGUF
- Or if you have RAG setup on a corpus:
  - SciPhi/Sensei-7B-V2
  - TheBloke/Sensei-7B-V1-GGUF
- Falconsai/medical_summarization