size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: text
    dtype: string
    description: "The text content of the comment."
  - name: emotions
    dtype:
      list:
        class_label:
          names:
            '0': Anger
            '1': Disgust
            '2': Fear
            '3': Stress
            '4': Frustration
            '5': Happiness
            '6': Sadness
            '7': Surprise
            '8': Punishment
            '9': Reward
            '10': Political Discourse
            '11': Anxiety
            '12': Aggression
            '13': Injustice
            '14': Disappointment
            '15': Sarcasm
            '16': Joy
            '17': Neutral
    description: "A dataset containing text comments labeled with emotions. Each comment is associated with one or more emotion labels.
      The emotion labels are represented as indices, and the mapping from indices to label names is provided below."
     
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 481507
    num_examples: 1866
  download_size: 295126
  dataset_size: 481507
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Emotion Dataset

## Overview
This dataset contains text comments labeled with emotions. Each comment is associated with one or more emotion labels, represented as indices. The mapping from indices to label names is as follows:

| Index | Label              |
|-------|--------------------|
| 0     | Anger              |
| 1     | Disgust            |
| 2     | Fear               |
| 3     | Stress             |
| 4     | Frustration        |
| 5     | Happiness          |
| 6     | Sadness            |
| 7     | Surprise           |
| 8     | Punishment         |
| 9     | Reward             |
| 10    | Political Discourse|
| 11    | Anxiety            |
| 12    | Aggression         |
| 13    | Injustice          |
| 14    | Disappointment     |
| 15    | Sarcasm            |
| 16    | Joy                |
| 17    | Neutral            |
