metadata
annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - en
license:
  - other
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets: imdb
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
paperswithcode_id: imdb-movie-reviews
pretty_name: IMDB
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': neg
            '1': pos
  config_name: plain_text
  splits:
    - name: train
      num_bytes: 33432835
      num_examples: 25000
    - name: test
      num_bytes: 32650697
      num_examples: 25000
    - name: unsupervised
      num_bytes: 67106814
      num_examples: 50000
  download_size: 84125825
  dataset_size: 133190346
train-eval-index:
  - config: plain_text
    task: text-classification
    task_id: binary_classification
    splits:
      train_split: train
      eval_split: test
    col_mapping:
      text: text
      label: target
    metrics:
      - type: accuracy
      - name: Accuracy
      - type: f1
        name: F1 macro
        args:
          average: macro
      - type: f1
        name: F1 micro
        args:
          average: micro
      - type: f1
        name: F1 weighted
        args:
          average: weighted
      - type: precision
        name: Precision macro
        args:
          average: macro
      - type: precision
        name: Precision micro
        args:
          average: micro
      - type: precision
        name: Precision weighted
        args:
          average: weighted
      - type: recall
        name: Recall macro
        args:
          average: macro
      - type: recall
        name: Recall micro
        args:
          average: micro
      - type: recall
        name: Recall weighted
        args:
          average: weighted
Dataset Card for "test_imdb_embedd2"

More Information needed