Retrieve a dataset

curl --request GET \
  --url https://api.orq.ai/v2/datasets/{dataset_id} \
  --header 'Authorization: Bearer <token>'

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.orq.ai/v2/datasets/{dataset_id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.orq.ai/v2/datasets/{dataset_id}"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

{
  "_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "display_name": "<string>",
  "project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "workspace_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "metadata": {
    "total_versions": 123,
    "datapoints_count": 123
  },
  "created_by_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "updated_by_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "created": "2026-06-10T10:08:14.953Z",
  "updated": "2026-06-10T10:08:14.954Z"
}

{
  "message": "<string>",
  "code": "<string>"
}