ashwinperti/newSentiment_1Oct22
Text Classification • Updated
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This dataset has been automatically processed by AutoTrain for project ashwin_sentiment140dataset.
The BCP-47 code for the dataset's language is en.
A sample from this dataset looks as follows:
[
{
"text": "@JordainFTW i didnt watch them BUT CALEB PLAYS NAZI ZOMBIES TOOOOOO!!!!!!!!!! OMG OMG OMG! HE IS MY BESTFREIND! what do u needa tell me?",
"target": 1
},
{
"text": "@Jennymac22 too much info! good for you hun. I'm pleased for you. ",
"target": 1
}
]
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['0', '4'], id=None)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 2399 |
| valid | 601 |