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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 |