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 | | |