---
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](https://huggingface.co./datasets/Mohammed-Altaf/medical-instruction-120k)
## 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. 
```{python} 
# 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)

 ```