task_categories: | |
- summarization | |
# AutoTrain Dataset for project: flan-large-conv | |
## Dataset Description | |
This dataset has been automatically processed by AutoTrain for project flan-large-conv. | |
### 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": "What is the largest insect in the world?", | |
"target": "The largest insect in the world is the Goliath Beetle." | |
}, | |
{ | |
"text": "What is the largest amphibian in the world?", | |
"target": "The largest amphibian in the world is the Chinese giant salamander." | |
} | |
] | |
``` | |
### 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 | 158 | | |
| valid | 40 | | |