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@@ -10,7 +10,7 @@ pretty_name: Tweets
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  size_categories:
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  - 10K<n<100K
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  ---
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- ## Tweets
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  ## Overview
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@@ -29,18 +29,22 @@ This version contains whether the sentiment of the tweets in this set was positi
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  - Total Size: 14,640 demonstrations
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  ## Contents
 
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  The dataset consists of a data frame with the following columns:
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- - airline_sentiment
 
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  - text
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  {
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  "label": 0,
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  "text": "virginamerica why are your first fares in may over three times more than other carriers when all seats are available to select.",
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  }
 
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  ## How to use
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- ```
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  from datasets import load_dataset
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  dataset = load_dataset("AiresPucrs/tweets", split='train')
@@ -50,5 +54,3 @@ dataset = load_dataset("AiresPucrs/tweets", split='train')
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  ## License
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  The Twitter US Airline Sentiment is licensed under the [Creative Commons(CC)](https://creativecommons.org/licenses/by-nc-sa/4.0/) License CC BY-NC-SA 4.0.
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-
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- ---
 
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  size_categories:
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  - 10K<n<100K
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  ---
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+ # Tweets
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  ## Overview
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  - Total Size: 14,640 demonstrations
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  ## Contents
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+
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  The dataset consists of a data frame with the following columns:
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+
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+ - label
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  - text
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+ ```bash
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  {
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  "label": 0,
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  "text": "virginamerica why are your first fares in may over three times more than other carriers when all seats are available to select.",
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  }
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+ ```
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  ## How to use
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+ ```python
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  from datasets import load_dataset
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  dataset = load_dataset("AiresPucrs/tweets", split='train')
 
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  ## License
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  The Twitter US Airline Sentiment is licensed under the [Creative Commons(CC)](https://creativecommons.org/licenses/by-nc-sa/4.0/) License CC BY-NC-SA 4.0.