# AutoTrain Dataset for project: test-sa-gam

## Dataset Description

This dataset has been automatically processed by AutoTrain for project test-sa-gam.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "It is easy to navigate and update programs",
    "target": "[([6, 7], [2]), ([4], [2])]"
  },
  {
    "text": "The big screen allows you to enjoy watching movies , pictures and etc",
    "target": "[([2], [1])]"
  }
]
```

### 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        | 1016 |
| valid        | 112 |

task_categories:summarization language:en region:us
{"language": ["en"], "task_categories": ["summarization"]}
TAGS
#task_categories-summarization #language-English #region-us 

AutoTrain Dataset for project: test-sa-gam
==========================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project test-sa-gam.


### Languages


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


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 en.


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 #language-English #region-us 
 ### Languages


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


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: