language: | |
- en | |
task_categories: | |
- text-classification | |
# AutoNLP Dataset for project: user-review-classification | |
## Table of content | |
- [Dataset Description](#dataset-description) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
## Dataset Descritpion | |
This dataset has been automatically processed by AutoNLP for project user-review-classification. | |
### 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": "awful", | |
"target": 3 | |
}, | |
{ | |
"text": "it says you can only read three stories a month and yet everything i clicked on was blank and now it[...]", | |
"target": 2 | |
} | |
] | |
``` | |
### Dataset Fields | |
The dataset has the following fields (also called "features"): | |
```json | |
{ | |
"target": "ClassLabel(num_classes=4, names=['CONTENT', 'INTERFACE', 'SUBSCRIPTION', 'USER_EXPERIENCE'], names_file=None, id=None)", | |
"text": "Value(dtype='string', 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 | 275 | | |
| valid | 71 | | |