Ownlayer
  • 👋Welcome
  • Getting Started
    • 💫Quickstart
  • Iterate
    • 💡Prompt
    • 📃Dataset
      • Dataset Creation
      • Data point Evaluation
      • Dataset Evaluation
  • Monitor
    • 🔬Evaluators
      • 🖌️Create Evaluators
      • 🔌Smart Trigger an online Evaluator
      • 🎛️Evaluator Playground
    • 🧐Analyzers
  • Integrations
    • Segment
    • Amplitude
    • Posthog
  • REST API
  • Python SDK
Powered by GitBook
On this page
  • Create Dataset Schema
  • Access Datasets
  • Create Dataset
  • Populate Dataset
  • Select the Dataset to Populate
  • Import Data
  • Other Methods to Populate Dataset
  1. Iterate
  2. Dataset

Dataset Creation

PreviousDatasetNextData point Evaluation

Last updated 8 months ago

Create Dataset Schema

Access Datasets

  • Navigate to the 'Datasets' section from the left panel.

Create Dataset

  • Click on 'Create dataset'.

  • Provide the following information:

    • Name: Give your dataset a unique name.

    • Description: Describe the dataset for future reference.

    • Evaluation Variables: This will be your data schema and variables used for evaluators. If you are not sure what variable means, check .

    • Click on 'Submit' to save the dataset schema.

To evaluate the dataset as a whole, select "Prediction, Reference" from the dropdown menu.

Populate Dataset

Select the Dataset to Populate

  • Choose the dataset you'd like to populate from your list of datasets.

Import Data

  • Click the 'Import' button at the top right corner.

  • Upload your CSV file.

  • Map your desired columns from the CSV file to the evaluation variables.

  • Note that the maximum number of rows is currently capped at 1000. If you need extra rows, please contact us.

Other Methods to Populate Dataset

You can also populate dataset by

  • Manually add new datapoint

  • Save data from the playground

  • Save data from inferences

📃
here