yelp_3classes / README.md
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metadata
dataset_info:
  - config_name: default
    features:
      - name: label
        dtype: int64
      - name: t_label
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 491481554
        num_examples: 650000
      - name: test
        num_bytes: 37861188
        num_examples: 50000
    download_size: 323230667
    dataset_size: 529342742
  - config_name: test
    features:
      - name: label
        dtype: int64
      - name: t_label
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 37861188
        num_examples: 50000
    download_size: 23535516
    dataset_size: 37861188
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

label

0 - Negative (from stars 0 and 1)

1 - Neutral (from star 2)

2 - Positive (from stars 3 and 4)

example

{'label': 0,
't_label': 'Negative',
'text': 'dr. goldberg offers everything i look for in a general practitioner.  he's nice and easy to talk to without being patronizing; he's always on time in seeing his patients; he's affiliated with a top-notch hospital (nyu) which my parents have explained to me is very important in case something happens and you need surgery; and you can get referrals to see specialists without having to see him first.  really, what more do you need?  i'm sitting here trying to think of any complaints i have about him, but i'm really drawing a blank.'}

source

Yelp

cited from :

Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015).