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Datasets & Dataframes UI

This interface centralizes the management of datasets (multiple files, versions, and dependencies) and dataframes (CSV-based, structured data).

1. Datasets

1.1 Datasets List

Upon selecting Datasets in the sidebar, you’ll see a list of datasets. Each entry displays the main version.

Dataset Home Page

1.2 Dataset Details

Click a dataset to view its details, including:

  • General Info – Basic metadata for the dataset.
  • Dependency Graph – Shows hierarchical relationships among dataset versions.

Dataset Details Page

1.3 Dataset Creation

You can generate a Python script to create a new dataset using the DatasetClient library. Make sure you have an API key first.

  1. Click Create to open the script generation modal.
  2. Choose either SDK or CLI initialization.
  3. Customize the script (e.g., specifying parent datasets, parameters).

Create Via SDK
Create Via CLI 1

Note: For more details on the Dataset API client, see the Dataset API Client documentation.

2. Dataframes

2.1 Dataframes List

Selecting Datasets from the sidebar also reveals a dataframes tab, listing all dataframes (single CSV files).

Dataframe Home Page

2.2 Adding a Dataframe

Two methods are available:

  1. Import from a Dataset – Choose a dataset and its version to generate a dataframe from existing files.
    Dataframe Import Page

  2. Upload – Directly upload a CSV file.

2.3 Viewing a Dataframe

Click on a dataframe to preview the first five rows.

Dataframe Preview Page

2.4 Dataframe Settings

Use the Settings tab to delete the dataframe or add tags for easier organization.

Next Steps