Sustainable Development Goals

A text classifier trained on the OSGD-CD dataset.

Use this public function to categorize your text data into Affordable and Clean Energy, Clean Water and Sanitation, Climate Action, and 12 other labels. Try it out below or contact us to get API access.

Not what you are looking for? Check out our other pretrained text classifiers or train your own custom text classifier.

Function Statistics

Total samples	25,000
Number of labels	15
Labels

Want to Use This Function?

Integrate this function into your product with one simple API call:

curl -X POST \
  -H 'Authorization: Bearer <accessToken>' \
  -F 'data=@<fileName>' \
  'https://www.nyckel.com/v1/functions/ngoxaxmj66ytn515/invoke'

import requests

url = 'https://www.nyckel.com/v1/functions/ngoxaxmj66ytn515/invoke'
headers = {
    'Authorization': 'Bearer ' + '<accessToken>',
}

with open('<fileName>', 'rb') as f:
    result = requests.post(url, headers=headers, files={'data': f})
print(result.text)

const form = new FormData();
form.append('data', File(<fileBytes>, '<fileName>'));

fetch('https://www.nyckel.com/v1/functions/ngoxaxmj66ytn515/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + '<accessToken>',
    },
    body: form
})
.then(response => response.json())
.then(data => console.log(data));

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/ngoxaxmj66ytn515/invoke');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);

$file = curl_file_create(realpath('<fileName>'));
$fields = array('data' => $file);
curl_setopt($ch, CURLOPT_POSTFIELDS, $fields);

$headers = array();
$headers[] = 'Authorization: Bearer ' . '<accessToken>';
$headers[] = 'Content-Type: multipart/form-data';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);

$result = curl_exec($ch);
curl_close($ch);
echo $result;

Get in touch with the team at Nyckel to find out more and get API access.

Not What You're Looking For?

Check out our other pretrained text classifiers or train your own custom text classifier.