---
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/
```