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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: 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: label
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- dtype:
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- class_label:
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- names:
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- '0': sadness
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- '1': joy
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- '2': love
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- '3': anger
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- '4': fear
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- '5': surprise
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- splits:
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- - name: train
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- num_bytes: 72761213.15815398
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- num_examples: 333447
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- - name: validation
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- num_bytes: 9095178.920923013
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- num_examples: 41681
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- - name: test
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- num_bytes: 9095178.920923013
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- num_examples: 41681
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- download_size: 56044603
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- dataset_size: 90951571.0
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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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- ---
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- Original dataset: https://www.kaggle.com/datasets/nelgiriyewithana/emotions
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-
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- The dataset was machine translated to Latvian using Google Translate API.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ dataset_info:
4
+ config_name: google_translator
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+ features:
6
+ - name: lv_text
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+ dtype: string
8
+ - name: text
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+ dtype: string
10
+ - name: label
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+ dtype:
12
+ class_label:
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+ names:
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+ '0': sadness
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+ '1': joy
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+ '2': love
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+ '3': anger
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+ '4': fear
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+ '5': surprise
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+ splits:
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+ - name: train
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+ num_bytes: 72761213.15815398
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+ num_examples: 333447
24
+ - name: validation
25
+ num_bytes: 9095178.920923013
26
+ num_examples: 41681
27
+ - name: test
28
+ num_bytes: 9095178.920923013
29
+ num_examples: 41681
30
+ download_size: 56044603
31
+ dataset_size: 90951571
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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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+ - lv
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+ - en
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+ Original dataset: https://www.kaggle.com/datasets/nelgiriyewithana/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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+
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+ Dataset contains 7 emotion labels as per Dr. Ekman theory. Labels are as follows:
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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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+ ```