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---
language:
- en
task_categories:
- text-classification
---
# AutoTrain Dataset for project: car-review-project
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project car-review-project. It contains consumer car ratings and reviews from [Edmunds website](https://www.kaggle.com/datasets/ankkur13/edmundsconsumer-car-ratings-and-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:
```json
[
{
"text": " ",
"target": 1
},
{
"text": " Mazda truck costs less than the sister look-a-like Ford; Mazda is a \"A\" series of the Ford Ranger, [...]",
"target": 2
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=3, names=['great', 'ok', 'poor'], 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 | 19731 |
| valid | 4935 |
|