metadata
task_categories:
- text-classification
AutoTrain Dataset for project: test-auto
Dataset Description
This dataset has been automatically processed by AutoTrain for project test-auto.
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": "I'm indifferent towards this restaurant. The food was average, and the service was neither exceptional nor terrible.",
"target": 1
},
{
"text": "\"The product I received was damaged and didn't work properly. I reached out to customer support, but they were unhelpful and unresponsive.\"",
"target": 0
}
]
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 | 26 |
valid | 8 |