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