---
task_categories:
- summarization

---
# AutoTrain Dataset for project: flant5finetune

## Dataset Description

This dataset has been automatically processed by AutoTrain for project flant5finetune.

### 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
[
  {
    "text": "Describe this image of a serene lake and turn it into a starry night scene.",
    "target": "Tools: Image captioning, Image editing\nInput: {Image}, turn it into a starry night scene\n"
  },
  {
    "text": "Generate a melodic rock track for an energetic outdoor adventure video.",
    "target": "Tools: Music generation\nInput: melodic rock track for an energetic outdoor adventure video\n"
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "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        | 23 |
| valid        | 6 |