Dataset Service

The Dataset Service in the Galtea SDK allows you to manage datasets for evaluating your products. This Service is exposed by the galtea.datasets object.

Remember that we will be using the galtea object. More information here.

Quick Example

First, initialize the Galtea SDK:

galtea = Galtea(api_key="YOUR_API_KEY")

Create a dataset:

dataset = galtea.datasets.create(
    name=dataset_name,
    type="ACCURACY",
    product_id=product_id,
    ground_truth_file_path="path/to/knowledge.md",
    language="english",
    max_test_cases=5,
)

List datasets for a product:

datasets = galtea.datasets.list(product_id=product_id, limit=10)

Get a dataset by ID:

dataset = galtea.datasets.get(dataset_id=dataset_id)

Service Methods

Create Dataset
Listing Datasets
Retrieving Dataset
Retrieving Dataset By Name
Updating Dataset
Deleting Dataset
Downloading Dataset

Dataset

A dataset of test cases for evaluating product performance

Introduction

SDK

CLI

Concepts

Quick Example

Service Methods

Dataset

​Quick Example

​Service Methods

​Related

Dataset

Quick Example

Service Methods

Related