> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://www.comet.com/docs/opik/reference/rest-api/datasets/get-dataset-by-identifier/llms.txt. # Get dataset by name POST http://localhost:5173/api/v1/private/datasets/retrieve Content-Type: application/json Get dataset by name Reference: https://www.comet.com/docs/opik/reference/rest-api/datasets/get-dataset-by-identifier ## Servers - `http://localhost:5173/api` (Local server, default) - `https://www.comet.com/opik/api` (Opik Cloud) ## Request ### Body (application/json) This endpoint expects a DatasetIdentifier_Public. - `dataset_name` (string, required) - `project_name` (string, optional) ## Response ### 200 Dataset resource - `name` (string, required) - `id` (string, optional) - `project_id` (string, optional) — Project ID. Takes precedence over project_name when both are provided. - `type` (enum, optional) - Allowed values: `dataset`, `evaluation_suite` - `visibility` (enum, optional) - Allowed values: `private`, `public` - `tags` (list of string, optional) - `description` (string, optional) - `created_at` (datetime, optional) - `created_by` (string, optional) - `last_updated_at` (datetime, optional) - `last_updated_by` (string, optional) - `experiment_count` (long, optional) - `dataset_items_count` (long, optional) - `optimization_count` (long, optional) - `most_recent_experiment_at` (datetime, optional) - `last_created_experiment_at` (datetime, optional) - `most_recent_optimization_at` (datetime, optional) - `last_created_optimization_at` (datetime, optional) - `status` (enum, optional) - Allowed values: `unknown`, `processing`, `completed`, `failed` - `latest_version` (DatasetVersionSummary_Public, optional) — Summary of the latest dataset version ## Types ### DatasetVersionSummary_Public Summary of the latest dataset version - `id` (string, optional) — Unique identifier of the version - `version_hash` (string, optional) — Hash of the version content - `version_name` (string, optional) — Sequential version name formatted as 'v1', 'v2', etc. - `change_description` (string, optional) — Description of changes in this version - `tags` (list of string, optional) — Tags associated with this version ## Examples **Request** ```json { "dataset_name": "string" } ``` **Response** ```json { "name": "string", "id": "string", "project_id": "string", "type": "dataset", "visibility": "private", "tags": [ "string" ], "description": "string", "created_at": "2024-01-15T09:30:00Z", "created_by": "string", "last_updated_at": "2024-01-15T09:30:00Z", "last_updated_by": "string", "experiment_count": 1, "dataset_items_count": 1, "optimization_count": 1, "most_recent_experiment_at": "2024-01-15T09:30:00Z", "last_created_experiment_at": "2024-01-15T09:30:00Z", "most_recent_optimization_at": "2024-01-15T09:30:00Z", "last_created_optimization_at": "2024-01-15T09:30:00Z", "status": "unknown", "latest_version": { "id": "string", "version_hash": "string", "version_name": "string", "change_description": "string", "tags": [ "string" ] } } ``` **SDK Code** ```python import requests url = "http://localhost:5173/api/v1/private/datasets/retrieve" payload = { "dataset_name": "string" } headers = {"Content-Type": "application/json"} response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript const url = 'http://localhost:5173/api/v1/private/datasets/retrieve'; const options = { method: 'POST', headers: {'Content-Type': 'application/json'}, body: '{"dataset_name":"string"}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "http://localhost:5173/api/v1/private/datasets/retrieve" payload := strings.NewReader("{\n \"dataset_name\": \"string\"\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby require 'uri' require 'net/http' url = URI("http://localhost:5173/api/v1/private/datasets/retrieve") http = Net::HTTP.new(url.host, url.port) request = Net::HTTP::Post.new(url) request["Content-Type"] = 'application/json' request.body = "{\n \"dataset_name\": \"string\"\n}" response = http.request(request) puts response.read_body ``` ```java import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("http://localhost:5173/api/v1/private/datasets/retrieve") .header("Content-Type", "application/json") .body("{\n \"dataset_name\": \"string\"\n}") .asString(); ``` ```php request('POST', 'http://localhost:5173/api/v1/private/datasets/retrieve', [ 'body' => '{ "dataset_name": "string" }', 'headers' => [ 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("http://localhost:5173/api/v1/private/datasets/retrieve"); var request = new RestRequest(Method.POST); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"dataset_name\": \"string\"\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = ["Content-Type": "application/json"] let parameters = ["dataset_name": "string"] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "http://localhost:5173/api/v1/private/datasets/retrieve")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` > Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.