Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
nlp
Update README.md
Browse files
README.md
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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path: data/validation-*
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- split: test
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path: data/test-*
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task_categories:
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- text-classification
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language:
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- en
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tags:
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- nlp
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---
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Original dataset: [GoEmotions dataset](https://huggingface.co/datasets/google-research-datasets/go_emotions)
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Filtered using the following mapping based on the basic emotions found in Plutchik's Wheel of Emotions
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wheel_dict = {
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"joy": [
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"joy",
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"amusement",
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"excitement",
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"gratitude",
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"pride",
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"relief",
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"admiration",
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"love",
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"optimism",
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],
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"trust": ["approval", "caring"],
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"fear": ["fear", "nervousness"],
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"surprise": ["surprise", "realization", "confusion", "curiosity"],
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"sadness": ["sadness", "disappointment", "grief", "remorse", "embarrassment"],
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"neutral": ["neutral"],
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"anticipation": ["desire"],
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"anger": ["anger", "annoyance", "disapproval"],
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"disgust": ["disgust"],
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}
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Dataset contains 7 emotion labels as per Dr. Ekman theory. Labels are as follows:
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```yaml
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'0': joy
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'1': trust
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'2': fear
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'3': surprise
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'4': sadness
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'5': neutral
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'6': anticipation
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'7': anger
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'8': disgust
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```
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