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---
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 |
|