---
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).