metadata
license: mit
widget:
- text: >-
With tears of joy streaming down her cheeks, she embraced her long-lost
brother after years of separation.
example_title: Joy
- text: >-
As the orchestra played the final note, the audience erupted into
thunderous applause, filling the concert hall with joy.
example_title: Joy
- text: >-
The old man sat alone on the park bench, reminiscing about the love he had
lost, his eyes filled with sadness.
example_title: Sadness
- text: >-
The news of her best friend moving to a distant country left her feeling a
profound sadness and emptiness.
example_title: Sadness
- text: >-
The scientific research paper discussed complex concepts that were beyond
the scope of a laymans understanding.
example_title: Neutral
- text: >-
The documentary provided an objective view of the historical events,
presenting facts without any bias.
example_title: Neutral
- text: >-
He clenched his fists tightly, trying to control the surge of anger when
he heard the offensive remarks.
example_title: Anger
- text: >-
The unfair treatment at work ignited a simmering anger within him, leading
him to consider confronting the management.
example_title: Anger
- text: >-
As the magician pulled a rabbit out of an empty hat, the children gasped
in amazement and surprise.
example_title: Surprise
- text: >-
He opened the box to find a rare and valuable antique inside, leaving him
speechless with surprise.
example_title: Surprise
- text: >-
The moldy and rotting food in the refrigerator evoked a sense of disgust,
leading her to clean it immediately.
example_title: Disgust
- text: >-
The movie's graphic scenes of violence and gore left many viewers feeling
a sense of disgust and unease.
example_title: Disgust
- text: >-
As the storm raged outside, the little child clung to their parents,
seeking comfort from the fear of thunder.
example_title: Fear
- text: >-
The horror movie was so terrifying that some viewers had to cover their
eyes in fear, unable to bear the suspense.
example_title: Fear
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification