{} | |
# 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 | | |