metadata

license: mit
language:
  - en
tags:
  - medi
  - medical
pretty_name: python
size_categories:
  - 10K<n<100K

What is the Dataset About?🤷🏼‍♂️

The dataset is useful for training a Generative Language Model for the Medical application and instruction purposes, the dataset consists of various thoughs proposed by the people [mentioned as the Human ] and there responses including Medical Terminologies not limited to but including names of the drugs, prescriptions, yogic exercise suggessions, breathing exercise suggessions and few natural home made prescriptions.

How the Dataset was made?😅

I have used all the available opensource datasets and combined them into a single datsource for training, which is completely opensourced and somewhat reliable.

There is another refined and updated version of this datset here 👉🏼 Link

Example Training Scripts:

Qlora Fine Tuning -

Tips:

This is my first dataset to upload on HuggingFace, so below are the thing I wish I could have known

always save your final dataset before uploading to hub as a json with lines.
The json should have the records orientation, which will be helpful while loading the dataset properly without any error.

# use below if you are using pandas for data manipulation
train.to_json("dataset_name.json", orient='records', lines=True)
test.to_json("dataset_name.json", orient='records', lines=True)