| --- |
| 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': admiration |
| '1': amusement |
| '2': anger |
| '3': annoyance |
| '4': approval |
| '5': caring |
| '6': confusion |
| '7': curiosity |
| '8': desire |
| '9': disappointment |
| '10': disapproval |
| '11': disgust |
| '12': embarrassment |
| '13': excitement |
| '14': fear |
| '15': gratitude |
| '16': grief |
| '17': joy |
| '18': love |
| '19': nervousness |
| '20': optimism |
| '21': pride |
| '22': realization |
| '23': relief |
| '24': remorse |
| '25': sadness |
| '26': surprise |
| '27': neutral |
| - name: labels_ekman |
| sequence: |
| class_label: |
| names: |
| '0': anger |
| '1': disgust |
| '2': fear |
| '3': joy |
| '4': sadness |
| '5': surprise |
| '6': neutral |
| - name: id |
| dtype: string |
| 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](https://huggingface.co/datasets/google-research-datasets/go_emotions) |
|
|
| The dataset was machine translated to Lithuanian using free Google Translate API. |
|
|
| Tool used for translation: [deep-translator](https://pypi.org/project/deep-translator/) |
|
|
| Translation script: |
| ```python |
| from datasets import load_dataset |
| from deep_translator import GoogleTranslator |
| from deep_translator.exceptions import TranslationNotFound |
| |
| original_dataset = load_dataset("go_emotions", name="simplified") |
| translator = GoogleTranslator(source="en", target="lt") |
| |
| def translate_batch(batch): |
| original_text = batch["text"] |
| |
| while True: |
| try: |
| translated_batch = translator.translate_batch(original_text) |
| break |
| except TranslationNotFound: |
| # Translation can fail due to API limits, so we retry until it works |
| print(f"Translation failed. Retrying...") |
| |
| # We fix untranslated entries (None values) by replacing them with the original text |
| for i in range(len(translated_batch)): |
| if not translated_batch[i]: |
| translated_batch[i] = original_text[i] |
| print(f"Replaced {original_text[i]} vs {translated_batch[i]}") |
| |
| batch["lt_text"] = translated_batch |
| |
| return batch |
| |
| translated_dataset = original_dataset.map( |
| translate_batch, batched=True, batch_size=500 |
| ) |
| ``` |
|
|
| Column `labels` contains multi-label emotion annotations with 28 emotion labels as per GoEmotion dataset: |
| ```yaml |
| 0: admiration |
| 1: amusement |
| 2: anger |
| 3: annoyance |
| 4: approval |
| 5: caring |
| 6: confusion |
| 7: curiosity |
| 8: desire |
| 9: disappointment |
| 10: disapproval |
| 11: disgust |
| 12: embarrassment |
| 13: excitement |
| 14: fear |
| 15: gratitude |
| 16: grief |
| 17: joy |
| 18: love |
| 19: nervousness |
| 20: optimism |
| 21: pride |
| 22: realization |
| 23: relief |
| 24: remorse |
| 25: sadness |
| 26: surprise |
| 27: neutral |
| ``` |
|
|
| Column `labels_ekman` contains multi-label emotion annotations with 7 base emotions as per Dr. Ekman theory: |
| ```yaml |
| 0: anger |
| 1: disgust |
| 2: fear |
| 3: joy |
| 4: sadness |
| 5: surprise |
| 6: neutral |
| ``` |
|
|
| Label mapping from 28 emotions from GoEmotion to 7 base emotions as per Dr. Ekman theory: |
| |GoEmotion|Ekman| |
| |---|---| |
| | admiration | joy| |
| | amusement | joy| |
| | anger | anger| |
| | annoyance | anger| |
| | approval | joy| |
| | caring | joy| |
| | confusion | surprise| |
| | curiosity | surprise| |
| | desire | joy| |
| | disappointment | sadness| |
| | disapproval | anger| |
| | disgust | disgust| |
| | embarrassment | sadness| |
| | excitement | joy| |
| | fear | fear| |
| | gratitude | joy| |
| | grief | sadness| |
| | joy | joy| |
| | love | joy| |
| | nervousness | fear| |
| | optimism | joy| |
| | pride | joy| |
| | realization | surprise| |
| | relief | joy| |
| | remorse | sadness| |
| | sadness | sadness| |
| | surprise | surprise| |
| | neutral | neutral| |
