README.md

---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: labels
    sequence:
      class_label:
        names:
          '0': joy
          '1': trust
          '2': fear
          '3': surprise
          '4': sadness
          '5': neutral
          '6': anticipation
          '7': anger
          '8': disgust
  - name: id
    dtype: string
  splits:
  - name: train
    num_bytes: 4224138
    num_examples: 43410
  - name: validation
    num_bytes: 527119
    num_examples: 5426
  - name: test
    num_bytes: 524443
    num_examples: 5427
  download_size: 3427263
  dataset_size: 5275700
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- text-classification
language:
- en
tags:
- nlp
---
Original dataset: [GoEmotions dataset](https://huggingface.co/datasets/google-research-datasets/go_emotions)

Filtered using the following mapping based on the basic emotions found in Plutchik's Wheel of Emotions
wheel_dict = {
    "joy": [
        "joy",
        "amusement",
        "excitement",
        "gratitude",
        "pride",
        "relief",
        "admiration",
        "love",
        "optimism",
    ],
    "trust": ["approval", "caring"],
    "fear": ["fear", "nervousness"],
    "surprise": ["surprise", "realization", "confusion", "curiosity"],
    "sadness": ["sadness", "disappointment", "grief", "remorse", "embarrassment"],
    "neutral": ["neutral"],
    "anticipation": ["desire"],
    "anger": ["anger", "annoyance", "disapproval"],
    "disgust": ["disgust"],
}

Dataset contains 7 emotion labels as per Dr. Ekman theory. Labels are as follows:
```yaml
  '0': joy
  '1': trust
  '2': fear
  '3': surprise
  '4': sadness
  '5': neutral
  '6': anticipation
  '7': anger
  '8': disgust
```