Update README.md

README.md

@@ -83,7 +83,76 @@ Original dataset: [GoEmotions dataset](https://huggingface.co/datasets/google-re
 
 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:
+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
@@ -92,4 +161,36 @@ Dataset contains 7 emotion labels as per Dr. Ekman theory. Labels are as follows
 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|