README.md

metadata

license: mit
dataset_info:
  config_name: google_translator
  features:
    - name: lt_text
      dtype: string
    - name: text
      dtype: string
    - name: labels
      sequence:
        class_label:
          names:
            '0': anger
            '1': disgust
            '2': fear
            '3': joy
            '4': sadness
            '5': surprise
            '6': neutral
  splits:
    - name: train
      num_bytes: 7095238
      num_examples: 43410
    - name: validation
      num_bytes: 885284
      num_examples: 5426
    - name: test
      num_bytes: 882333
      num_examples: 5427
  download_size: 6057071
  dataset_size: 8862855
configs:
  - config_name: google_translator
    data_files:
      - split: train
        path: google_translator/train-*
      - split: validation
        path: google_translator/validation-*
      - split: test
        path: google_translator/test-*
task_categories:
  - text-classification
language:
  - en
  - lt

Original dataset: GoEmotions dataset

The dataset was machine translated to Lithuanian using free Google Translate API.

Dataset contains 7 emotion labels as per Dr. Ekman theory. Labels are as follows:

0: anger
1: disgust
2: fear
3: joy
4: sadness
5: surprise
6: neutral