Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
cURL
curl --request POST \ --url https://api.veri.studio/v1/datasets/connect \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data ' { "name": "<string>", "source_type": "<string>", "huggingface_dataset": "<string>", "huggingface_config": "<unknown>", "volume": "<string>", "volume_path": "<string>", "credentials": "<unknown>" } '
import requests url = "https://api.veri.studio/v1/datasets/connect" payload = { "name": "<string>", "source_type": "<string>", "huggingface_dataset": "<string>", "huggingface_config": "<unknown>", "volume": "<string>", "volume_path": "<string>", "credentials": "<unknown>" } 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: '<string>', source_type: '<string>', huggingface_dataset: '<string>', huggingface_config: '<unknown>', volume: '<string>', volume_path: '<string>', credentials: '<unknown>' }) }; fetch('https://api.veri.studio/v1/datasets/connect', options) .then(res => res.json()) .then(res => console.log(res)) .catch(err => console.error(err));
{ "object": "<string>", "id": "<string>", "name": "<string>", "created_at": "2023-11-07T05:31:56Z", "source_type": "<string>", "source_uri": "<string>", "huggingface_dataset": "<string>", "num_rows": 123 }
API key with the vk_ prefix. Create one from the dashboard.
vk_
The connected (or existing, on identical config) dataset