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README.md
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- split: test
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path: data/test-*
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---
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- split: test
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path: data/test-*
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---
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## label
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0 - Negative (from stars 0 and 1)
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1 - Neutral (from star 2)
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2 - Positive (from stars 3 and 4)
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## example
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```
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{'label': 0,
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't_label': 'Negative',
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'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.'}
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```
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## source
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Yelp
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cited from :
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Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015).
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