curl --request POST \
  --url https://api.tokenfactory.nebius.com/v1/datasets \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "example_dataset",
  "schema": {
    "name": "text",
    "type": {
      "name": "string"
    }
  },
  "folder": "/some/folder",
  "rows": {
    "text": "This is the first row."
  },
  "ai_project_id": "example_project"
}
'

import requests

url = "https://api.tokenfactory.nebius.com/v1/datasets"

payload = {
    "name": "example_dataset",
    "schema": {
        "name": "text",
        "type": { "name": "string" }
    },
    "folder": "/some/folder",
    "rows": { "text": "This is the first row." },
    "ai_project_id": "example_project"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'example_dataset',
    schema: {name: 'text', type: {name: 'string'}},
    folder: '/some/folder',
    rows: {text: 'This is the first row.'},
    ai_project_id: 'example_project'
  })
};

fetch('https://api.tokenfactory.nebius.com/v1/datasets', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.tokenfactory.nebius.com/v1/datasets",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'name' => 'example_dataset',
    'schema' => [
        'name' => 'text',
        'type' => [
                'name' => 'string'
        ]
    ],
    'folder' => '/some/folder',
    'rows' => [
        'text' => 'This is the first row.'
    ],
    'ai_project_id' => 'example_project'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.tokenfactory.nebius.com/v1/datasets"

	payload := strings.NewReader("{\n  \"name\": \"example_dataset\",\n  \"schema\": {\n    \"name\": \"text\",\n    \"type\": {\n      \"name\": \"string\"\n    }\n  },\n  \"folder\": \"/some/folder\",\n  \"rows\": {\n    \"text\": \"This is the first row.\"\n  },\n  \"ai_project_id\": \"example_project\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.tokenfactory.nebius.com/v1/datasets")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"example_dataset\",\n  \"schema\": {\n    \"name\": \"text\",\n    \"type\": {\n      \"name\": \"string\"\n    }\n  },\n  \"folder\": \"/some/folder\",\n  \"rows\": {\n    \"text\": \"This is the first row.\"\n  },\n  \"ai_project_id\": \"example_project\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tokenfactory.nebius.com/v1/datasets")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"example_dataset\",\n  \"schema\": {\n    \"name\": \"text\",\n    \"type\": {\n      \"name\": \"string\"\n    }\n  },\n  \"folder\": \"/some/folder\",\n  \"rows\": {\n    \"text\": \"This is the first row.\"\n  },\n  \"ai_project_id\": \"example_project\"\n}"

response = http.request(request)
puts response.read_body

{
  "id": "4d89c87498354518b92fa02fc0ad8720",
  "name": "example_dataset",
  "status": "READY",
  "schema": {
    "name": "text",
    "type": {
      "name": "string"
    }
  },
  "metadata": {},
  "folder": "/some/folder",
  "current_version": "0ed2d94b38fb40b9b61f6a",
  "created_at": 1760109124,
  "error": "<string>",
  "current_version_origin": {
    "type": "s3"
  },
  "current_version_summary": {
    "id": "0ed2d94b38fb40b9b61f6a",
    "origin": {
      "type": "s3"
    },
    "row_count": 100,
    "size_bytes": 1024
  },
  "ai_project_id": "example_project"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}