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--- |
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language: |
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- en |
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- lt |
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license: mit |
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task_categories: |
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- text-classification |
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dataset_info: |
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config_name: google_translator |
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features: |
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- name: lt_text |
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dtype: string |
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- name: text |
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dtype: string |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': sadness |
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'1': joy |
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'2': love |
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'3': anger |
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'4': fear |
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'5': surprise |
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splits: |
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- name: train |
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num_bytes: 71995184.8176143 |
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num_examples: 333447 |
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- name: validation |
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num_bytes: 8999425.091192849 |
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num_examples: 41681 |
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- name: test |
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num_bytes: 8999425.091192849 |
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num_examples: 41681 |
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download_size: 55584192 |
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dataset_size: 89994035.0 |
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configs: |
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- config_name: google_translator |
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data_files: |
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- split: train |
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path: google_translator/train-* |
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- split: validation |
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path: google_translator/validation-* |
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- split: test |
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path: google_translator/test-* |
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--- |
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Original dataset: https://www.kaggle.com/datasets/nelgiriyewithana/emotions |
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The dataset was machine translated to Lithuanian using free Google Translate API. |
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Dataset contains 7 emotion labels as per Dr. Ekman theory. Labels are as follows: |
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0: anger |
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1: disgust |
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2: fear |
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3: joy |
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4: sadness |
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5: surprise |
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6: neutral |
