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README.md
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@@ -10,7 +10,7 @@ The model was based on [studio-ousia/luke-japanese-large](https://huggingface.co
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The dataset was composed of about 1,700 sentences, with about 100~250 sentences each for each emotion category.
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emotion_mapping = { 0: 'amaze', 1: 'anger', 2: 'dislike', 3: '
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emotion_mapping = { 0: '้ฉใ', 1: 'ๆใ', 2: 'ใใ', 3: 'ๆใ', 4: 'ๆใใ', 5: 'ๅใณ', 6: 'ๅฅฝใ', 7: 'ๅฎใใ', 8: 'ๆฒใใฟ', 9: 'ๆฅใใใใ' }
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The dataset was composed of about 1,700 sentences, with about 100~250 sentences each for each emotion category.
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emotion_mapping = { 0: 'amaze/surprise', 1: 'anger', 2: 'dislike', 3: 'excitement', 4: 'fear', 5: 'joy', 6: 'like/fondness', 7: 'relief', 8: 'sad/gloom', 9: 'shame' }
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emotion_mapping = { 0: '้ฉใ', 1: 'ๆใ', 2: 'ใใ', 3: 'ๆใ', 4: 'ๆใใ', 5: 'ๅใณ', 6: 'ๅฅฝใ', 7: 'ๅฎใใ', 8: 'ๆฒใใฟ', 9: 'ๆฅใใใใ' }
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