Get dataset

curl --request GET \
  --url https://console.sqwish.ai/v1/datasets/{dataset_id} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://console.sqwish.ai/v1/datasets/{dataset_id}"

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

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

print(response.text)

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

fetch('https://console.sqwish.ai/v1/datasets/{dataset_id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "id": "<string>",
  "name": "<string>",
  "created_at": 123,
  "sha256": "<string>",
  "status": "validated",
  "rows": 123,
  "contexts": 123,
  "duplicates_removed": 123,
  "method": "sft",
  "augmentation": "none",
  "deleted_at": 123,
  "input": {
    "format": "json",
    "sha256": "<string>",
    "bytes": 123
  },
  "labeling": {
    "job_id": "<string>",
    "source_id": "<string>",
    "source_sha256": "<string>",
    "source_input_sha256": "<string>",
    "spec_sha256": "<string>",
    "prompt_version": "<string>",
    "teacher_models": [
      "<string>"
    ],
    "row_indices": [
      123
    ],
    "selection_sha256": "<string>",
    "target_method": "mean_one_hot_teacher_votes"
  },
  "source": "<string>",
  "metadata_filter": {}
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "request_id": "<string>",
    "details": [
      {
        "path": [
          "<string>"
        ],
        "message": "<string>",
        "type": "<string>"
      }
    ]
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "request_id": "<string>",
    "details": [
      {
        "path": [
          "<string>"
        ],
        "message": "<string>",
        "type": "<string>"
      }
    ]
  }
}