metadata
languages:
- en
task_categories:
- text-classification
AutoTrain Dataset for project: quality-customer-reviews
Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project quality-customer-reviews.
Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": " Love this truck, I think it is light years better than the competition. I have driven or owned all [...]",
"target": 1
},
{
"text": " I purchased this to haul our 4 horse trailer since the standard iterations of the domestic vehicles[...]",
"target": 0
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=5, names=['good', 'great', 'ok', 'poor', 'terrible'], 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 | 9166 |
valid | 2295 |