go_emotions

Dataset Summary
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral. The raw data is included as well as the smaller, simplified version of the dataset with predefined train/val/test splits.

Supported Tasks and Leaderboards
This dataset is intended for multi-class, multi-label emotion classification.

Languages
The data is in English.

Dataset Structure
Data Instances
Each instance is a reddit comment with a corresponding ID and one or more emotion annotations (or neutral).

Data Fields
The simplified configuration includes:

text: the reddit comment
labels: the emotion annotations
comment_id: unique identifier of the comment (can be used to look up the entry in the raw dataset)
In addition to the above, the raw data includes:

author: The Reddit username of the comment's author.
subreddit: The subreddit that the comment belongs to.
link_id: The link id of the comment.
parent_id: The parent id of the comment.
created_utc: The timestamp of the comment.
rater_id: The unique id of the annotator.
example_very_unclear: Whether the annotator marked the example as being very unclear or difficult to label (in this case they did not choose any emotion labels).
In the raw data, labels are listed as their own columns with binary 0/1 entries rather than a list of ids as in the simplified data.

For this dataset we used the simplified version. Here it is the interpretation of the labels:

Index Emotion
0 admiration
1 amusement
2 anger
3 annoyance
4 approval
5 caring
6 confusion
7 curiosity
8 desire
9 disappointment
10 disapproval
11 disgust
12 embarrassment
13 excitement
14 fear
15 gratitude
16 grief
17 joy
18 love
19 nervousness
20 optimism
21 pride
22 realization
23 relief
24 remorse
25 sadness
26 surprise
27 neutral

We deleted rows with missing values in the 'labels' column.

paper_url = "https://aclanthology.org/2020.acl-main.372.pdf"

original_data_url = "https://huggingface.co/datasets/google-research-datasets/go_emotions"