# AutoTrain Dataset for project: country-to-country-code-2

## Dataset Description

This dataset has been automatically processed by AutoTrain for project country-to-country-code-2.

### 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": "France",
    "target": 39
  },
  {
    "text": "Peru",
    "target": 95
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=137, names=['AF', 'AG', 'AL', 'AM', 'AO', 'AR', 'AU', 'AZ', 'BA', 'BD', 'BF', 'BG', 'BJ', 'BM', 'BO', 'BR', 'BT', 'BY', 'CA', 'CD', 'CG', 'CH', 'CI', 'CL', 'CM', 'CN', 'CO', 'CR', 'CU', 'CV', 'CY', 'CZ', 'DE', 'DO', 'EC', 'EG', 'ES', 'ET', 'FI', 'FR', 'GB', 'GE', 'GL', 'GM', 'GN', 'GR', 'GT', 'GU', 'HN', 'HR', 'HT', 'HU', 'ID', 'IE', 'IM', 'IQ', 'IR', 'IT', 'JO', 'JP', 'KE', 'KG', 'KI', 'KM', 'KP', 'KR', 'KW', 'KZ', 'LA', 'LB', 'LK', 'LU', 'LV', 'LY', 'MA', 'MC', 'MD', 'MG', 'MK', 'ML', 'MM', 'MN', 'MT', 'MU', 'MW', 'MX', 'MY', 'MZ', 'NC', 'NG', 'NI', 'NL', 'NO', 'NZ', 'PA', 'PE', 'PH', 'PK', 'PL', 'PS', 'PT', 'PW', 'QA', 'RE', 'RS', 'RU', 'SA', 'SD', 'SE', 'SI', 'SN', 'SO', 'SR', 'SS', 'SV', 'SY', 'TG', 'TH', 'TJ', 'TN', 'TO', 'TW', 'TZ', 'UA', 'UG', 'US', 'UY', 'UZ', 'VE', 'VI', 'VN', 'XK', 'YE', 'YT', 'ZA', 'ZM', 'ZW'], 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        | 600 |
| valid        | 299 |

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

AutoTrain Dataset for project: country-to-country-code-2
========================================================


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


This dataset has been automatically processed by AutoTrain for project country-to-country-code-2.


### 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-text-classification #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:
passage: TAGS
#task_categories-text-classification #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: