Datasets:
Reupload datasets. Update README.md
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SkyWater21
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README.md
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| 1 |
+
---
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| 2 |
+
dataset_info:
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+
- config_name: simplified
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features:
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- name: lv_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: id
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dtype: string
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splits:
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- name: train
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num_bytes: 7715280
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num_examples: 43410
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- name: validation
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+
num_bytes: 960769
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+
num_examples: 5426
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- name: test
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+
num_bytes: 956930
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+
num_examples: 5427
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+
download_size: 6646444
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| 54 |
+
dataset_size: 9632979
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| 55 |
+
- config_name: simplified_ekman
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+
features:
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- name: lv_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: 8267776
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+
num_examples: 43410
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- name: validation
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num_bytes: 1029817
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num_examples: 5426
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+
- name: test
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+
num_bytes: 1025790
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+
num_examples: 5427
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download_size: 6700239
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+
dataset_size: 10323383
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+
configs:
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- config_name: simplified
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data_files:
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- split: train
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path: simplified/train-*
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- split: validation
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path: simplified/validation-*
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- split: test
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path: simplified/test-*
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- config_name: simplified_ekman
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data_files:
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- split: train
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path: simplified_ekman/train-*
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- split: validation
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path: simplified_ekman/validation-*
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- split: test
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path: simplified_ekman/test-*
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license: mit
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task_categories:
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- text-classification
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language:
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- lv
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- en
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size_categories:
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- 10K<n<100K
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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 Latvian using free Google Translate API.
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Tool used for translation: [deep-translator](https://pypi.org/project/deep-translator/)
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Translation script:
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```python
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| 152 |
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from datasets import load_dataset
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| 153 |
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from deep_translator import GoogleTranslator
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| 154 |
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from deep_translator.exceptions import TranslationNotFound
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original_dataset = load_dataset("go_emotions", name="simplified")
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translator = GoogleTranslator(source="en", target="lv")
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def translate_batch(batch):
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original_text = batch["text"]
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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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# 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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batch["lv_text"] = translated_batch
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return batch
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| 179 |
+
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| 180 |
+
translated_dataset = original_dataset.map(
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| 181 |
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translate_batch, batched=True, batch_size=500
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| 182 |
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)
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| 183 |
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```
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| 184 |
+
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| 185 |
+
The dataset contains 2 subsets:
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| 186 |
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- `simplified` - contains 28 emotion labels.
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| 187 |
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Labels are as follows:
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| 188 |
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```yaml
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| 189 |
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0: admiration
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| 190 |
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1: amusement
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| 191 |
+
2: anger
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| 192 |
+
3: annoyance
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| 193 |
+
4: approval
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| 194 |
+
5: caring
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| 195 |
+
6: confusion
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| 196 |
+
7: curiosity
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| 197 |
+
8: desire
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| 198 |
+
9: disappointment
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| 199 |
+
10: disapproval
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| 200 |
+
11: disgust
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| 201 |
+
12: embarrassment
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| 202 |
+
13: excitement
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| 203 |
+
14: fear
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| 204 |
+
15: gratitude
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| 205 |
+
16: grief
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| 206 |
+
17: joy
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| 207 |
+
18: love
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| 208 |
+
19: nervousness
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| 209 |
+
20: optimism
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| 210 |
+
21: pride
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| 211 |
+
22: realization
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| 212 |
+
23: relief
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| 213 |
+
24: remorse
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| 214 |
+
25: sadness
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| 215 |
+
26: surprise
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| 216 |
+
27: neutral
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| 217 |
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```
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| 218 |
+
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- `simplified_ekman` - contains 7 emotion labels as per Dr. Ekman theory.
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| 220 |
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Labels are as follows:
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| 221 |
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```yaml
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| 222 |
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0: anger
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| 223 |
+
1: disgust
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| 224 |
+
2: fear
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| 225 |
+
3: joy
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| 226 |
+
4: sadness
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| 227 |
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5: surprise
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| 228 |
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6: neutral
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| 229 |
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```
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| 230 |
+
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Label mapping from 28 emotions from GoEmotion to 7 base emotions as per Dr. Ekman theory:
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| 232 |
+
|GoEmotion|Ekman|
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|---|---|
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+
| admiration | joy|
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| 235 |
+
| amusement | joy|
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| 236 |
+
| anger | anger|
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| 237 |
+
| annoyance | anger|
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| 238 |
+
| approval | joy|
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| 239 |
+
| caring | joy|
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| 240 |
+
| confusion | surprise|
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| 241 |
+
| curiosity | surprise|
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| 242 |
+
| desire | joy|
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| 243 |
+
| disappointment | sadness|
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| 244 |
+
| disapproval | anger|
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| 245 |
+
| disgust | disgust|
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| 246 |
+
| embarrassment | sadness|
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| 247 |
+
| excitement | joy|
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| 248 |
+
| fear | fear|
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| 249 |
+
| gratitude | joy|
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| 250 |
+
| grief | sadness|
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| 251 |
+
| joy | joy|
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| 252 |
+
| love | joy|
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| 253 |
+
| nervousness | fear|
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| 254 |
+
| optimism | joy|
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| 255 |
+
| pride | joy|
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| 256 |
+
| realization | surprise|
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| 257 |
+
| relief | joy|
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| 258 |
+
| remorse | sadness|
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| 259 |
+
| sadness | sadness|
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| 260 |
+
| surprise | surprise|
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| 261 |
+
| neutral | neutral|
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