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Datasets:
AiLab-IMCS-UL
/
go_emotions-lt

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Lithuanian
English
Size:
10K - 100K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
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  1. .gitattributes +58 -59
  2. README.md +194 -1
  3. google_translator/test-00000-of-00001.parquet +3 -0
  4. google_translator/train-00000-of-00001.parquet +3 -0
  5. google_translator/validation-00000-of-00001.parquet +3 -0
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README.md CHANGED
@@ -1,3 +1,196 @@
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  ---
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: mit
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+ dataset_info:
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+ config_name: google_translator
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+ features:
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+ - name: lt_text
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: labels
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+ sequence:
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+ class_label:
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+ names:
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+ '0': admiration
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+ '1': amusement
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+ '2': anger
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+ '3': annoyance
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+ '4': approval
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+ '5': caring
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+ '6': confusion
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+ '7': curiosity
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+ '8': desire
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+ '9': disappointment
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+ '10': disapproval
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+ '11': disgust
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+ '12': embarrassment
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+ '13': excitement
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+ '14': fear
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+ '15': gratitude
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+ '16': grief
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+ '17': joy
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+ '18': love
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+ '19': nervousness
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+ '20': optimism
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+ '21': pride
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+ '22': realization
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+ '23': relief
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+ '24': remorse
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+ '25': sadness
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+ '26': surprise
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+ '27': neutral
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+ - name: labels_ekman
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+ sequence:
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+ class_label:
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+ names:
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+ '0': anger
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+ '1': disgust
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+ '2': fear
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+ '3': joy
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+ '4': sadness
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+ '5': surprise
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+ '6': neutral
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+ - name: id
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 7095238
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+ num_examples: 43410
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+ - name: validation
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+ num_bytes: 885284
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+ num_examples: 5426
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+ - name: test
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+ num_bytes: 882333
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+ num_examples: 5427
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+ download_size: 6057071
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+ dataset_size: 8862855
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+ configs:
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+ - config_name: google_translator
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+ data_files:
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+ - split: train
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+ path: google_translator/train-*
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+ - split: validation
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+ path: google_translator/validation-*
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+ - split: test
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+ path: google_translator/test-*
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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+ - lt
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  ---
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+ Original dataset: [GoEmotions dataset](https://huggingface.co/datasets/google-research-datasets/go_emotions)
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+
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+ The dataset was machine translated to Lithuanian using free Google Translate API.
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+
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+ Tool used for translation: [deep-translator](https://pypi.org/project/deep-translator/)
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+
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+ Translation script:
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+ ```python
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+ from datasets import load_dataset
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+ from deep_translator import GoogleTranslator
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+ from deep_translator.exceptions import TranslationNotFound
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+
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+ original_dataset = load_dataset("go_emotions", name="simplified")
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+ translator = GoogleTranslator(source="en", target="lt")
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+
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+ def translate_batch(batch):
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+ original_text = batch["text"]
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+
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+ while True:
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+ try:
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+ translated_batch = translator.translate_batch(original_text)
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+ break
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+ except TranslationNotFound:
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+ # Translation can fail due to API limits, so we retry until it works
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+ print(f"Translation failed. Retrying...")
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+
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+ # We fix untranslated entries (None values) by replacing them with the original text
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+ for i in range(len(translated_batch)):
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+ if not translated_batch[i]:
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+ translated_batch[i] = original_text[i]
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+ print(f"Replaced {original_text[i]} vs {translated_batch[i]}")
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+
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+ batch["lt_text"] = translated_batch
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+
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+ return batch
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+
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+ translated_dataset = original_dataset.map(
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+ translate_batch, batched=True, batch_size=500
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+ )
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+ ```
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+
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+ Column `labels` contains multi-label emotion annotations with 28 emotion labels as per GoEmotion dataset:
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+ ```yaml
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+ 0: admiration
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+ 1: amusement
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+ 2: anger
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+ 3: annoyance
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+ 4: approval
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+ 5: caring
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+ 6: confusion
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+ 7: curiosity
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+ 8: desire
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+ 9: disappointment
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+ 10: disapproval
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+ 11: disgust
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+ 12: embarrassment
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+ 13: excitement
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+ 14: fear
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+ 15: gratitude
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+ 16: grief
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+ 17: joy
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+ 18: love
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+ 19: nervousness
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+ 20: optimism
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+ 21: pride
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+ 22: realization
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+ 23: relief
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+ 24: remorse
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+ 25: sadness
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+ 26: surprise
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+ 27: neutral
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+ ```
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+
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+ Column `labels_ekman` contains multi-label emotion annotations with 7 base emotions as per Dr. Ekman theory:
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+ ```yaml
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+ 0: anger
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+ 1: disgust
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+ 2: fear
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+ 3: joy
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+ 4: sadness
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+ 5: surprise
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+ 6: neutral
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+ ```
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+
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+ Label mapping from 28 emotions from GoEmotion to 7 base emotions as per Dr. Ekman theory:
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+ |GoEmotion|Ekman|
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+ |---|---|
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+ | admiration | joy|
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+ | amusement | joy|
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+ | anger | anger|
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+ | annoyance | anger|
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+ | approval | joy|
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+ | caring | joy|
175
+ | confusion | surprise|
176
+ | curiosity | surprise|
177
+ | desire | joy|
178
+ | disappointment | sadness|
179
+ | disapproval | anger|
180
+ | disgust | disgust|
181
+ | embarrassment | sadness|
182
+ | excitement | joy|
183
+ | fear | fear|
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+ | gratitude | joy|
185
+ | grief | sadness|
186
+ | joy | joy|
187
+ | love | joy|
188
+ | nervousness | fear|
189
+ | optimism | joy|
190
+ | pride | joy|
191
+ | realization | surprise|
192
+ | relief | joy|
193
+ | remorse | sadness|
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+ | sadness | sadness|
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+ | surprise | surprise|
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+ | neutral | neutral|
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