# AutoTrain Dataset for project: cylonix_summarize

## Dataset Description

This dataset has been automatically processed by AutoTrain for project cylonix_summarize.

### 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": "CAPE TOWN (Reuters) - Two men were injured in a drive-by shooting at South Africa s Cape Town International Airport, police said on Wednesday. Operations at the airport, the second busiest in the country and a tourism hub, were not affected, police spokesman Vish Naidoo said, adding the motive for the shooting was unknown. The airport is Africa s third busiest and handles around 10 million passengers a year, including tourists and businesspeople commuting to the economic hub Johannesburg.  A man, about 50 years of age, was shot in a drive-by shooting and in the process a bystander, a 30-year-old man, was also hit,  Naidoo said. The shooting took place in the early morning in a public area some distance from the airport s security gates, Naidoo said. Flights had not been affected, the airport s general manager Deon Cloete said in a statement.  The shooting scene has been cordoned off while investigations continue,  Cloete said. Local media reported that the shooting was gang-related, but Naidoo could not confirm that was the motive. ",
    "target": "Two injured in shooting at South Africa's Cape Town airport"
  },
  {
    "text": "WASHINGTON (Reuters) - The chairman of a U.S. Senate cyber security subcommittee said on Friday he planned to introduce sanctions legislation over \u201cRussia\u2019s cyber criminals\u201d after Washington accused Russia of political cyber attacks ahead of the Nov. 8 presidential election. Republican Senator Cory Gardner said his legislation would require the Obama administration to investigate those who have engaged in significant actions undermining cyber security and aggressively pursue sanctions when appropriate. Gardner is chairman of the Senate Foreign Relations Subcommittee on East Asia, the Pacific and International Cybersecurity.  ",
    "target": "U.S. lawmaker wants cyber sanctions on Russia after hacking charges"
  }
]
```

### 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        | 37 |
| valid        | 10 |

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

AutoTrain Dataset for project: cylonix\_summarize
=================================================


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


This dataset has been automatically processed by AutoTrain for project cylonix\_summarize.


### 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: