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metadata
dataset_info:
  features:
    - name: 'Unnamed: 0'
      dtype: int64
    - name: drugName
      dtype: string
    - name: condition
      dtype: string
    - name: review
      dtype: string
    - name: rating
      dtype: float64
    - name: date
      dtype: string
    - name: usefulCount
      dtype: int64
  splits:
    - name: train
      num_bytes: 29016995
      num_examples: 53766
  download_size: 16756332
  dataset_size: 29016995
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
language:
  - en

With a dataset of over 2000 drugs for varying health situations, over 200,000 observations, 7 attributes, and tens of thousands of texts by users of their experience; categorizing these texts will be an extremely difficult task without an efficient algorithm for resolving the problem.

https://www.kaggle.com/