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Datasets:
davanstrien
/
test1

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
100K - 1M
Tags:
embeddings
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: text
@@ -7,22 +26,72 @@ dataset_info:
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  dtype:
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  class_label:
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  names:
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- '0': neg
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- '1': pos
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- - name: embeddings
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- sequence: float32
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  splits:
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  - name: train
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- num_bytes: 71932823
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  num_examples: 25000
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  - name: test
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- num_bytes: 71150685
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  num_examples: 25000
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  - name: unsupervised
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- num_bytes: 144106794
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  num_examples: 50000
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- download_size: 299376040
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- dataset_size: 287190302
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "test1"
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  ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - expert-generated
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+ language:
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+ - en
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+ license:
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+ - other
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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: imdb
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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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+ paperswithcode_id: imdb-movie-reviews
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+ pretty_name: IMDB
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  dataset_info:
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  features:
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  - name: text
 
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  dtype:
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  class_label:
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  names:
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+ 0: neg
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+ 1: pos
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+ config_name: plain_text
 
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  splits:
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  - name: train
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+ num_bytes: 33432835
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  num_examples: 25000
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  - name: test
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+ num_bytes: 32650697
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  num_examples: 25000
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  - name: unsupervised
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+ num_bytes: 67106814
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  num_examples: 50000
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+ download_size: 84125825
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+ dataset_size: 133190346
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+ tags:
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+ - embeddings
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+ train-eval-index:
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+ - config: plain_text
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+ task: text-classification
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+ task_id: binary_classification
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+ splits:
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+ train_split: train
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+ eval_split: test
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+ col_mapping:
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+ text: text
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+ label: target
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+ metrics:
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+ - type: accuracy
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+ - name: Accuracy
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+ - type: f1
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+ name: F1 macro
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+ args:
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+ average: macro
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+ - type: f1
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+ name: F1 micro
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+ args:
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+ average: micro
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+ - type: f1
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+ name: F1 weighted
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+ args:
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+ average: weighted
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+ - type: precision
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+ name: Precision macro
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+ args:
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+ average: macro
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+ - type: precision
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+ name: Precision micro
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+ args:
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+ average: micro
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+ - type: precision
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+ name: Precision weighted
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+ args:
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+ average: weighted
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+ - type: recall
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+ name: Recall macro
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+ args:
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+ average: macro
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+ - type: recall
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+ name: Recall micro
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+ args:
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+ average: micro
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+ - type: recall
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+ name: Recall weighted
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+ args:
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+ average: weighted
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  ---
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  # Dataset Card for "test1"
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