curl --request GET \
  --url https://distillation.training.wandb.ai/v1/tasks/{alias}/datasets/{datasetId} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://distillation.training.wandb.ai/v1/tasks/{alias}/datasets/{datasetId}"

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

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

print(response.text)

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

fetch('https://distillation.training.wandb.ai/v1/tasks/{alias}/datasets/{datasetId}', 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://distillation.training.wandb.ai/v1/tasks/{alias}/datasets/{datasetId}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://distillation.training.wandb.ai/v1/tasks/{alias}/datasets/{datasetId}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://distillation.training.wandb.ai/v1/tasks/{alias}/datasets/{datasetId}")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://distillation.training.wandb.ai/v1/tasks/{alias}/datasets/{datasetId}")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "task_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "params": {
    "query": {
      "source": "task",
      "after": "2023-11-07T05:31:56Z",
      "before": "2023-11-07T05:31:56Z",
      "filters": {
        "task_version": 1073741824,
        "resolved_provider": "<string>",
        "resolved_model": "<string>",
        "metadata": {}
      }
    },
    "sampling": {
      "strategy": "random",
      "limit": 50000
    },
    "split": {
      "val": 0.5,
      "by": "trace"
    }
  },
  "revision": 123,
  "status": "building",
  "build_progress": {
    "stage": "discovering",
    "processed": 123,
    "total": 123,
    "imported": 123
  },
  "entry_counts": {
    "total": 123,
    "train": 123,
    "val": 123
  },
  "relabel_runs": [
    {
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "dataset_revision": 123,
      "model_ref": "openai/gpt-5.6-sol",
      "status": "queued",
      "output_count": 123,
      "created_at": "2023-11-07T05:31:56Z",
      "updated_at": "2023-11-07T05:31:56Z",
      "error": "<string>"
    }
  ],
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

{
  "error": {
    "message": "Task 'missing' not found in entity 'your-team'",
    "type": "not_found"
  }
}