text_classification / README.md
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metadata
dataset_info:
  - config_name: ag_news
    features:
      - name: text
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': World
              '1': Sports
              '2': Business
              '3': Sci/Tech
    splits:
      - name: train
        num_bytes: 31696777
        num_examples: 127600
    download_size: 19819525
    dataset_size: 31696777
  - config_name: amazon_reviews
    features:
      - name: text
        dtype: string
      - name: label
        dtype: int64
    splits:
      - name: train
        num_bytes: 40184865
        num_examples: 210000
    download_size: 25004999
    dataset_size: 40184865
  - config_name: emotion
    features:
      - name: text
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': sadness
              '1': joy
              '2': love
              '3': anger
              '4': fear
              '5': surprise
      - name: vector
        sequence: float32
    splits:
      - name: train
        num_bytes: 26253401
        num_examples: 20000
    download_size: 37776037
    dataset_size: 26253401
  - config_name: imdb
    features:
      - name: text
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': neg
              '1': pos
      - name: vector
        sequence: float32
    splits:
      - name: train
        num_bytes: 126283508
        num_examples: 50000
    download_size: 132615883
    dataset_size: 126283508
  - config_name: multi_nli
    features:
      - name: label
        dtype:
          class_label:
            names:
              '0': entailment
              '1': neutral
              '2': contradiction
      - name: text
        dtype: string
      - name: glove
        sequence: float64
      - name: word2vec
        sequence: float64
      - name: fasttext
        sequence: float64
    splits:
      - name: train
        num_bytes: 2389531917
        num_examples: 412349
    download_size: 2243248541
    dataset_size: 2389531917
  - config_name: tweet_eval
    features:
      - name: text
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': negative
              '1': neutral
              '2': positive
    splits:
      - name: train
        num_bytes: 6943746
        num_examples: 59899
    download_size: 4846655
    dataset_size: 6943746
  - config_name: yelp_review_full
    features:
      - name: label
        dtype:
          class_label:
            names:
              '0': 1 star
              '1': 2 star
              '2': 3 stars
              '3': 4 stars
              '4': 5 stars
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 521082742
        num_examples: 700000
    download_size: 322949227
    dataset_size: 521082742
configs:
  - config_name: ag_news
    data_files:
      - split: train
        path: ag_news/train-*
  - config_name: amazon_reviews
    data_files:
      - split: train
        path: amazon_reviews/train-*
  - config_name: emotion
    data_files:
      - split: train
        path: emotion/train-*
  - config_name: imdb
    data_files:
      - split: train
        path: imdb/train-*
  - config_name: multi_nli
    data_files:
      - split: train
        path: multi_nli/train-*
  - config_name: tweet_eval
    data_files:
      - split: train
        path: tweet_eval/train-*
  - config_name: yelp_review_full
    data_files:
      - split: train
        path: yelp_review_full/train-*