| 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 | | |