task_categories:translation region:us
---
task_categories:
- translation

---
# AutoTrain Dataset for project: flan-t5-tuning

## Dataset Description

This dataset has been automatically processed by AutoTrain for project flan-t5-tuning.

### 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
[
  {
    "target": "G(!( oGupGnpHlFihSN ))",
    "source": "it never happens that oGupGnpHlFihSN",
    "feat_Unnamed: 2": null
  },
  {
    "target": "G(!( uJwMVmQcOjk & NFbgbwYf & uwbnvOQXgDVD ))",
    "source": "at no time uJwMVmQcOjk and, at the same time, NFbgbwYf and uwbnvOQXgDVD",
    "feat_Unnamed: 2": null
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "target": "Value(dtype='string', id=None)",
  "source": "Value(dtype='string', id=None)",
  "feat_Unnamed: 2": "Value(dtype='float64', 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        | 2399 |
| valid        | 600 |
