README.md

metadata

language:
  - en
  - lt
license: mit
task_categories:
  - text-classification
dataset_info:
  config_name: google_translator
  features:
    - name: lt_text
      dtype: string
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': sadness
            '1': joy
            '2': love
            '3': anger
            '4': fear
            '5': surprise
  splits:
    - name: train
      num_bytes: 71995184.8176143
      num_examples: 333447
    - name: validation
      num_bytes: 8999425.091192849
      num_examples: 41681
    - name: test
      num_bytes: 8999425.091192849
      num_examples: 41681
  download_size: 55584192
  dataset_size: 89994035
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-*

Original dataset: https://www.kaggle.com/datasets/nelgiriyewithana/emotions

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