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---
task_categories:
- summarization
---
# AutoTrain Dataset for project: finalbartmodel
## Dataset Description
This dataset has been automatically processed by AutoTrain for project finalbartmodel.
### 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": "Four people standing in an enclosure with a sign that says \" The Human Shop \" on it . The Human Shop",
"feat_Unnamed: 1": null,
"target": "Four people standing in an enclosure with a sign that says \" The Human Shop \" on it . ",
"feat_Unnamed: 3": null,
"feat_Unnamed: 4": null,
"feat_Unnamed: 5": null,
"feat_Unnamed: 6": null,
"feat_Unnamed: 7": null,
"feat_Unnamed: 8": null,
"feat_Unnamed: 9": null,
"feat_Unnamed: 10": null,
"feat_Unnamed: 11": null,
"feat_Unnamed: 12": null,
"feat_Unnamed: 13": null,
"feat_Unnamed: 14": null,
"feat_Unnamed: 15": null
},
{
"text": "a man carrying a sign that says free hug along the sidewalk .Free hugs",
"feat_Unnamed: 1": null,
"target": "a man carrying a sign that says free hug along the sidewalk .",
"feat_Unnamed: 3": null,
"feat_Unnamed: 4": null,
"feat_Unnamed: 5": null,
"feat_Unnamed: 6": null,
"feat_Unnamed: 7": null,
"feat_Unnamed: 8": null,
"feat_Unnamed: 9": null,
"feat_Unnamed: 10": null,
"feat_Unnamed: 11": null,
"feat_Unnamed: 12": null,
"feat_Unnamed: 13": null,
"feat_Unnamed: 14": null,
"feat_Unnamed: 15": null
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"feat_Unnamed: 1": "Value(dtype='float64', id=None)",
"target": "Value(dtype='string', id=None)",
"feat_Unnamed: 3": "Value(dtype='float64', id=None)",
"feat_Unnamed: 4": "Value(dtype='float64', id=None)",
"feat_Unnamed: 5": "Value(dtype='float64', id=None)",
"feat_Unnamed: 6": "Value(dtype='float64', id=None)",
"feat_Unnamed: 7": "Value(dtype='float64', id=None)",
"feat_Unnamed: 8": "Value(dtype='float64', id=None)",
"feat_Unnamed: 9": "Value(dtype='float64', id=None)",
"feat_Unnamed: 10": "Value(dtype='float64', id=None)",
"feat_Unnamed: 11": "Value(dtype='float64', id=None)",
"feat_Unnamed: 12": "Value(dtype='float64', id=None)",
"feat_Unnamed: 13": "Value(dtype='float64', id=None)",
"feat_Unnamed: 14": "Value(dtype='float64', id=None)",
"feat_Unnamed: 15": "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 | 408 |
| valid | 102 |
|