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# AutoTrain Dataset for project: sql-injection
## Dataset Description
This dataset has been automatically processed by AutoTrain for project sql-injection.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"feat_Data": "1' where 5230 = 5230",
"target": 1
},
{
"feat_Data": "1'+ ( select ouhd where 8905 = 8905 and 6510 = ( select count ( * ) from sysusers as sys1,sysusers as sys2,sysusers as sys3,sysusers as sys4,sysusers as sys5,sysusers as sys6,sysusers as sys7 ) ) +'",
"target": 1
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"feat_Data": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['0', '1'], 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 | 40455 |
| valid | 10115 |
|