README.md

metadata

dataset_info:
  - config_name: raw
    features:
      - name: ru_text
        dtype: string
      - name: text
        dtype: string
      - name: id
        dtype: string
      - name: author
        dtype: string
      - name: subreddit
        dtype: string
      - name: link_id
        dtype: string
      - name: parent_id
        dtype: string
      - name: created_utc
        dtype: float32
      - name: rater_id
        dtype: int32
      - name: example_very_unclear
        dtype: bool
      - name: admiration
        dtype: int32
      - name: amusement
        dtype: int32
      - name: anger
        dtype: int32
      - name: annoyance
        dtype: int32
      - name: approval
        dtype: int32
      - name: caring
        dtype: int32
      - name: confusion
        dtype: int32
      - name: curiosity
        dtype: int32
      - name: desire
        dtype: int32
      - name: disappointment
        dtype: int32
      - name: disapproval
        dtype: int32
      - name: disgust
        dtype: int32
      - name: embarrassment
        dtype: int32
      - name: excitement
        dtype: int32
      - name: fear
        dtype: int32
      - name: gratitude
        dtype: int32
      - name: grief
        dtype: int32
      - name: joy
        dtype: int32
      - name: love
        dtype: int32
      - name: nervousness
        dtype: int32
      - name: optimism
        dtype: int32
      - name: pride
        dtype: int32
      - name: realization
        dtype: int32
      - name: relief
        dtype: int32
      - name: remorse
        dtype: int32
      - name: sadness
        dtype: int32
      - name: surprise
        dtype: int32
      - name: neutral
        dtype: int32
    splits:
      - name: train
        num_bytes: 84388976
        num_examples: 211225
    download_size: 41128059
    dataset_size: 84388976
  - config_name: simplified
    features:
      - name: ru_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: id
        dtype: string
    splits:
      - name: train
        num_bytes: 10118125
        num_examples: 43410
      - name: validation
        num_bytes: 1261921
        num_examples: 5426
      - name: test
        num_bytes: 1254989
        num_examples: 5427
    download_size: 7628917
    dataset_size: 12635035
configs:
  - config_name: raw
    data_files:
      - split: train
        path: raw/train-*
  - config_name: simplified
    data_files:
      - split: train
        path: simplified/train-*
      - split: validation
        path: simplified/validation-*
      - split: test
        path: simplified/test-*
license: mit
task_categories:
  - text-classification
  - translation
task_ids:
  - multi-class-classification
  - multi-label-classification
  - sentiment-analysis
  - sentiment-classification
language:
  - ru
  - en
pretty_name: Ru-GoEmotions
size_categories:
  - 10K<n<100K
  - 100K<n<1M
source_datasets:
  - go_emotions
tags:
  - emotion-classification
  - emotion
  - reddit

Description

This dataset is a translation of the Google GoEmotions emotion classification dataset. All features remain unchanged, except for the addition of a new ru_text column containing the translated text in Russian. For the translation process, I used the Deep translator with the Google engine. You can find all the details about translation, raw .csv files and other stuff in this Github repository.

For more information also check the official original dataset card.

Id to label

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

Label to Russian label

admiration: восхищение
amusement: веселье
anger: злость
annoyance: раздражение
approval: одобрение
caring: забота
confusion: непонимание
curiosity: любопытство
desire: желание
disappointment: разочарование
disapproval: неодобрение
disgust: отвращение
embarrassment: смущение
excitement: возбуждение
fear: страх
gratitude: признательность
grief: горе
joy: радость
love: любовь
nervousness: нервозность
optimism: оптимизм
pride: гордость
realization: осознание
relief: облегчение
remorse: раскаяние
sadness: грусть
surprise: удивление
neutral: нейтральность