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POST
https://api.sutro.sh
/
list-datasets
Listing Datasets
curl --request POST \
  --url https://api.sutro.sh/list-datasets \
  --header 'Authorization: <authorization>'
{
  "datasets": [
    {
      "dataset_id": "dataset_12345",
      "name": "Training Data Q1 2024",
      "created_at": "2024-01-15T10:30:00Z",
      "file_count": 5,
      "total_size_bytes": 1048576,
      "schema": {
        "fields": [
          {"name": "input", "type": "string"},
          {"name": "output", "type": "string"},
          {"name": "category", "type": "string"}
        ]
      }
    },
    {
      "dataset_id": "dataset_12346",
      "name": "Evaluation Dataset",
      "created_at": "2024-01-20T14:15:00Z",
      "file_count": 2,
      "total_size_bytes": 524288,
      "schema": {
        "fields": [
          {"name": "prompt", "type": "string"},
          {"name": "response", "type": "string"}
        ]
      }
    }
  ]
}
Using the API directly is not recommended for most users. Instead, we recommend using the Python SDK.
List all datasets.

​
Headers

​
Authorization
string
required
Your Sutro API key using Key authentication scheme.Format: Key YOUR_API_KEYExample: Authorization: Key sk_live_abc123...

​
Response

Returns a JSON object containing a list of datasets.
​
datasets
array
A list of datasets you have access to. Each dataset object contains metadata about the dataset including dataset_id, name, creation time, and other relevant information.
{
  "datasets": [
    {
      "dataset_id": "dataset_12345",
      "name": "Training Data Q1 2024",
      "created_at": "2024-01-15T10:30:00Z",
      "file_count": 5,
      "total_size_bytes": 1048576,
      "schema": {
        "fields": [
          {"name": "input", "type": "string"},
          {"name": "output", "type": "string"},
          {"name": "category", "type": "string"}
        ]
      }
    },
    {
      "dataset_id": "dataset_12346",
      "name": "Evaluation Dataset",
      "created_at": "2024-01-20T14:15:00Z",
      "file_count": 2,
      "total_size_bytes": 524288,
      "schema": {
        "fields": [
          {"name": "prompt", "type": "string"},
          {"name": "response", "type": "string"}
        ]
      }
    }
  ]
}

​
Code Examples

import requests

response = requests.post(
    'https://api.sutro.sh/list-datasets',
    headers={
        'Authorization': 'Key YOUR_SUTRO_API_KEY'
    }
)

result = response.json()
print(f"Found {len(result['datasets'])} datasets:")

for dataset in result['datasets']:
    print(f"Dataset ID: {dataset['dataset_id']}")
    print(f"Name: {dataset['name']}")
    print(f"Created: {dataset['created_at']}")
    print(f"Files: {dataset['file_count']}")
    print(f"Size: {dataset['total_size_bytes']} bytes")
    print("---")

​
Dataset Object Fields

Each dataset in the datasets array contains the following fields:
  • dataset_id: Unique identifier for the dataset
  • name: Human-readable name of the dataset
  • created_at: ISO timestamp of when the dataset was created
  • file_count: Number of files in the dataset
  • total_size_bytes: Total size of all files in the dataset (in bytes)
  • schema: Schema information including field names and types

​
Notes

  • Datasets are returned in reverse chronological order (newest first)
  • The response includes metadata about each dataset to help with dataset management
  • Use the dataset_id from this response with other dataset-related endpoints