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In the paper, it is mentioned that "anticipation" is also a label in the ssec data but in the unified-dataset, "anticipation" is marked 'None'. For instance,
{'id': 25918, 'VAD': {'valence': None, 'arousal': None, 'dominance': None}, 'source': 'ssec', 'text': '#POTUS seals his legacy w/ 1/2 doz wins. The #GOP agenda? STILL!! Repeal #Gun laws & #Obamacare Ban Access 2 #TotalLosers #NoIdeas #SemST', 'emotions': {'joy': 0, 'anger': 1, 'sadness': 0, 'disgust': 1, 'fear': 0, 'trust': 0, 'surprise': 1, 'love': None, 'noemo': None, 'confusion': None, 'anticipation': None, 'shame': None, 'guilt': None}, 'split': 'train', 'emotion_model': 'Plutchik', 'domain': 'tweets', 'labeled': 'multi'}.
In the code for unifying as well, the "ssec" emotions do not include mapping to "anticipation" lines 525-533 here https://github.com/sarnthil/unify-emotion-datasets/blob/master/create_unified_dataset.py
The text was updated successfully, but these errors were encountered:
In the paper, it is mentioned that "anticipation" is also a label in the ssec data but in the unified-dataset, "anticipation" is marked 'None'. For instance,
{'id': 25918, 'VAD': {'valence': None, 'arousal': None, 'dominance': None}, 'source': 'ssec', 'text': '#POTUS seals his legacy w/ 1/2 doz wins. The #GOP agenda? STILL!! Repeal #Gun laws & #Obamacare Ban Access 2 #TotalLosers #NoIdeas #SemST', 'emotions': {'joy': 0, 'anger': 1, 'sadness': 0, 'disgust': 1, 'fear': 0, 'trust': 0, 'surprise': 1, 'love': None, 'noemo': None, 'confusion': None, 'anticipation': None, 'shame': None, 'guilt': None}, 'split': 'train', 'emotion_model': 'Plutchik', 'domain': 'tweets', 'labeled': 'multi'}.
In the code for unifying as well, the "ssec" emotions do not include mapping to "anticipation" lines 525-533 here https://github.com/sarnthil/unify-emotion-datasets/blob/master/create_unified_dataset.py
The text was updated successfully, but these errors were encountered: