Datasets:
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
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:
'0': joy
'1': trust
'2': fear
'3': surprise
'4': sadness
'5': neutral
'6': anticipation
'7': anger
'8': disgust