Think Different

  I am trying to preparing a Dataset for Fine-Tuning on Pathology Lab Data. 1. Dataset Collection    - Sources:  Gather data from pathology lab reports, medical journals, and any other relevant medical documents.    - Format:  Ensure that the data is in a readable format like CSV, JSON, or text files. 2. Data Preprocessing    - Cleaning:  Remove any irrelevant data, correct typos, and handle missing values.    - Formatting:  Convert the data into a format suitable for fine-tuning, usually pairs of input and output texts.    - Example Format:      - Input:  "Patient exhibits symptoms of hyperglycemia."      - Output:  "Hyperglycemia" 3. Tokenization    - Tokenize the text using the tokenizer that corresponds to the model you intend to fine-tune. Example Code for Dataset Preparation Using Pandas and Transformers for Preprocessing 1. Install Required Libraries: ...