---
dataset_info:
  features:
  - name: Text
    dtype: string
  - name: Label
    dtype: string
  - name: Encoding
    dtype: int64
  - name: Classification Score
    list:
    - name: label
      dtype: string
    - name: score
      dtype: float64
  splits:
  - name: train
    num_bytes: 3916705
    num_examples: 24746
  - name: validation
    num_bytes: 1295577
    num_examples: 8249
  - name: test
    num_bytes: 1299961
    num_examples: 8249
  download_size: 2594115
  dataset_size: 6512243
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

Label is used to give a context to the related text using the following map :

- 0 --> "PATIENT"
- 1 --> "DOCTOR"
- 2 --> "NEUTRAL"

The "Classification Score" field reports the predicted outcomes of the [patient-doctor-classifier](https://huggingface.co/LukeGPT88/patient-doctor-text-classifier-eng).