derek-thomas/autotrain-i-bert-twitter-sentiment-3685798328
Text Classification
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AutoTrain Dataset for project: i-bert-twitter-sentiment
Dataset Description
This dataset has been automatically processed by AutoTrain for project i-bert-twitter-sentiment.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": "Thanks\\u002c Dave! Great show tonight. Sorry\\u002c Craig. I\\u2019ve got to get to bed. I\\u2019ll catch you tomorrow. @user David Letterman",
"target": 2
},
{
"text": "\"I've been watching Gilmore Girls for the past 3 hours. Oops, happy Thursday!\"",
"target": 2
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['negative', 'neutral', 'positive'], id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 36491 |
| valid | 9124 |
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