# 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 |

task_categories:summarization region:us
{"task_categories": ["summarization"]}
TAGS
#task_categories-summarization #region-us 

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:


### Dataset Fields


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


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-summarization #region-us 
 ### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-summarization #region-us 
### Languages


The BCP-47 code for the dataset's language is unk.


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow: