---
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: 89994035.0
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:
```yaml
0: anger
1: disgust
2: fear
3: joy
4: sadness
5: surprise
6: neutral
```