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Datasets:
turkish-nlp-suite
/
SentiTurca

Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
100K - 1M
Tags:
sentiment
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
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README.md CHANGED
@@ -8,17 +8,49 @@ license:
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  multilinguality:
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  - monolingual
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  size_categories:
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- - 10K<n<100K
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  source_datasets:
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  - original
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  task_categories:
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  - text-classification
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  task_ids:
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  - sentiment-classification
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- pretty_name: BuyukSinema
 
 
 
 
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  tags:
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  - sentiment
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  dataset_info:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  features:
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  - name: sentence
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  dtype: string
@@ -47,6 +79,31 @@ dataset_info:
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  num_bytes: 742661
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  num_examples: 10000
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  download_size: 58918801
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: train
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  path: movies/train-*
@@ -54,7 +111,23 @@ dataset_info:
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  path: movies/validation-*
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  - split: test
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  path: movies/test-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # Dataset Card for Buyuk Sinema
 
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  multilinguality:
9
  - monolingual
10
  size_categories:
11
+ - 100K<n<1M
12
  source_datasets:
13
  - original
14
  task_categories:
15
  - text-classification
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  task_ids:
17
  - sentiment-classification
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+ pretty_name: SentiTurca (Sentiment Analysis Datasets for Turkish language)
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+ config_names:
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+ - e-commerce
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+ - hate
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+ - movies
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  tags:
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  - sentiment
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  dataset_info:
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+ - config_name: hate
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+ features:
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+ - name: baslik
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: category
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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': offensive
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+ '1': hate
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+ '2': neutral
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+ '3': civilized
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+ splits:
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+ - name: train
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+ num_bytes: 47357639
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+ num_examples: 86816
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+ - name: validation
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+ num_bytes: 5400927
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+ num_examples: 9996
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+ - name: test
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+ num_bytes: 5323545
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+ num_examples: 9991
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+ download_size: 58918801
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+ - config_name: movies
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  features:
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  - name: sentence
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  dtype: string
 
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  num_bytes: 742661
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  num_examples: 10000
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  download_size: 58918801
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+ - config_name: e-commerce
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+ features:
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+ - name: sentence
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+ dtype: string
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+ - name: star
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+ dtype:
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+ class_label:
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+ names:
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+ '0': 1_star
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+ '1': 2_star
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+ '2': 3_star
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+ '3': 4_star
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+ '4': 5_star
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+ splits:
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+ - name: train
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+ num_bytes: 12844466
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+ num_examples: 170188
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+ - name: validation
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+ num_bytes: 4811620
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+ num_examples: 30000
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+ - name: test
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+ num_bytes: 5260694
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+ num_examples: 30000
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+ configs:
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+ - config_name: movies
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  data_files:
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  - split: train
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  path: movies/train-*
 
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  path: movies/validation-*
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  - split: test
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  path: movies/test-*
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+ - config_name: e-commerce
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+ data_files:
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+ - split: train
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+ path: e-commerce/train_*
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+ - split: validation
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+ path: e-commerce/valid_*
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+ - split: test
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+ path: e-commerce/test_*
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+ - config_name: hate
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+ data_files:
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+ - split: train
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+ path: hate/train-*
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+ - split: validation
127
+ path: hate/validation-*
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+ - split: test
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+ path: hate/test-*
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  ---
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+ # Dataset Card for TrGLUE