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AutoTrain Dataset for project: sentimentanalysis
Dataset Description
This dataset has been automatically processed by AutoTrain for project sentimentanalysis.
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": "Feed companies Suomen Rehu and Raisio do no import GMO feed .",
"target": 1
},
{
"text": "OVA Press has a 60 % stake in the joint venture , while IMSM holds a 40 % stake .",
"target": 1
}
]
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 | 3876 |
| valid | 970 |
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