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  license: mit
 
 
 
 
 
 
 
 
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  license: mit
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+ language:
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+ - en
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+ tags:
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+ - medi
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+ - medical
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+ pretty_name: python
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+ size_categories:
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+ - 10K<n<100K
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  ---
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+
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+ # What is the Dataset About?🤷🏼‍♂️
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+ ---
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+ 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.
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+
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+ # How the Dataset was made?😅
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+ ---
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+ I have used all the available opensource datasets and combined them into a single datsource for training, which is completely opensourced and somewhat reliable.
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+
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+ * There is another refined and updated version of this datset here 👉🏼 [Link](https://huggingface.co/datasets/Mohammed-Altaf/medical-instruction-120k)
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+ ## Example Training Scripts:
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+ * Qlora Fine Tuning -
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+
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+ ## Tips:
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+ This is my first dataset to upload on HuggingFace, so below are the thing I wish I could have known
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+ * always save your final dataset before uploading to hub as a json with lines.
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+ * The json should have the records orientation, which will be helpful while loading the dataset properly without any error.
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+ ```{python}
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+ # use below if you are using pandas for data manipulation
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+ train.to_json("dataset_name.json", orient='records', lines=True)
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+ test.to_json("dataset_name.json", orient='records', lines=True)
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+
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+ ```