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Datasets:
databoyface
/
omemoji-src-v0.1

Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
emotion
affect
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
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label
stringclasses
10 values
text
stringlengths
1
143
🥰
🥰
🥰
🥰🥰
🥰
🥰 🥰 🥰
🥰
🥰🥰🥰🥰
🥰
🥰 🥰 🥰 🥰
🥰
A drama of great power; yet some will leave believing they have seen a comedy.
🥰
I didn't hear a stutter.
🥰
I'm not stuttering.
🥰
Did I stutter?
🥰
A fraction of hope.
🥰
Thou may prove to be honey-mouth'd dost thy tongue blister?
🥰
You can just walk away if my talk is nothing but sweet honey.
🥰
For all your sweet talk you've done all right.
🥰
Let me be struck down this very moment if I don't mean what I say!
🥰
A great party.
🥰
A great performance was the result.
🥰
A little blessing.
🥰
All in all; a great party.
🥰
All in all; we had a great time.
🥰
An utterly compelling story questioning the reputation of the most famous author who ever lived.
🥰
at ease
🥰
belief
🥰
belonging
🥰
Bless us all.
🥰
connected
🥰
disinhibited
🥰
earnest
🥰
epiphany
🥰
expectant
🥰
faith
🥰
Few stories can so capture childhood.
🥰
focus
🥰
Four lights is a moral tale of goodness.
🥰
Genius!
🥰
Good stories are sought after.
🥰
He expects that.
🥰
He feels connected.
🥰
He feels okay.
🥰
He felt faithful.
🥰
He felt he belonged.
🥰
He felt ok.
🥰
He had an epiphany.
🥰
He is faithful.
🥰
He is self-confident.
🥰
He is the greatest one I've ever known.
🥰
He kinda ready.
🥰
He looked as if he belonged.
🥰
He looked as if he felt an insight.
🥰
He looked at ease.
🥰
He looked disinhibited.
🥰
He looked earnest.
🥰
He looked in relief.
🥰
He looked like he felt hope.
🥰
He looked like he felt self-confident.
🥰
He looked like he was focusing at the time.
🥰
He looked like he was having an epiphany.
🥰
He looked on in solidarity.
🥰
He looked optimistic.
🥰
He looked realized.
🥰
He looked unobstructed.
🥰
He looks ok.
🥰
He realized.
🥰
He sounds at ease.
🥰
He sounds disinhibited.
🥰
He sounds hopeful.
🥰
He sounds improved.
🥰
He sounds in solidarity.
🥰
He sounds insightful.
🥰
He sounds like it's an epiphany.
🥰
He sounds like it's an urge to create.
🥰
He sounds optimistic.
🥰
He sounds ready.
🥰
He sounds realized.
🥰
He sounds relieved.
🥰
He supposed she would.
🥰
He urged everyone to create.
🥰
He was able to find hope.
🥰
He was at ease.
🥰
He was disinhibited.
🥰
He was earnest.
🥰
He was feeling a little focused.
🥰
He was feeling right about the insight.
🥰
He was feeling the solidarity.
🥰
He was improving.
🥰
He was optimistic.
🥰
He was self-confident.
🥰
He was unobstructed.
🥰
He was urgent to create.
🥰
He's ok.
🥰
He's taken a step in the right direction.
🥰
Her belief means a lot.
🥰
His belief is true.
🥰
His performance confirms his power once again.
🥰
hope
🥰
I am at ease.
🥰
I am connected.
🥰
I am earnest.
🥰
I am expecting that.
🥰
I am faithful.
🥰
I am focused.
End of preview. Expand in Data Studio

Orthogonal Model of Emoji

Abbreviated: OMEmoji

Note well, this isn't a text-replacement emoji prediction tool.

This variant of the OME dataset has 10 categories for classifying emotion in English language examples in a curated dataset deriving emotional clusters using dimensions of Subjectivity, Relativity, and Generativity. The dimensions of Clarity has been removed, with Compassion as rate of change to linearize the entire dataset, were used to map seven population clusters of ontological experiences categorized as Trust or Love, Happiness or Pleasure, Jealousy or Envy, Shame or Guilt, Anger or Disgust, Fear or Anxiety, and Sadness or Trauma. Edge cases, neutrality, and simple sentiments, such as positive and negative, are also used as null cases in classification theorized by OME.

Author

C.J. Pitchford

Creation Date

Originally created 2016, first version published September, 2017, at Medium. This variant marks a new direction in 2026!

Version

v0.1 BETA (use at your own risk)

Category Labels

Description Label
Trust or Love 🥰
Happiness or Pleasure 🤩
Positive 🙂
Neutral 😐
Negative 🙁
Jealousy or Envy 😒
Shame or Guilt 😦
Anger or Disgust 😠
Fear or Anxiety 😨
Sadness or Trauma 😭
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Models trained or fine-tuned on databoyface/omemoji-src-v0.1