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8. How to Query Cleaned Data on the Supametas.AI Platform

This article provides a detailed guide on how to query cleaned data using the Supametas.AI platform, including data list display, query filtering, batch operations, data deletion, and export steps, helping you efficiently manage and handle processed data.

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Supametas · 2025-02-22
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After data processing is completed, quickly locating, managing, and operating on the cleaned data becomes crucial. Supametas.AI offers an intuitive data query feature that allows you to easily view all processed data items on the dataset detail page. This article will explain in detail how to use the "Cleaned Data Query" function, covering data list display, query filtering, and batch operations for efficient data management.

Data.png

Data List Display

In the sidebar of the dataset detail page, click the "Data" option, and the system will display a data list. This list includes the following key information:

  • Data ID: Each data item has a unique identifier for easy recognition and management.
  • Data Content: Displays the name or a brief description of the data, helping you quickly identify each data item.
  • Original File Type: Shows the data source type, for example, data imported from local files will display the file format (e.g., .md, .json, .jpg), and data scraped from websites will show as "URL."
  • Cleaned File Type: Represents the file type saved after processing, currently supporting .md and .json formats.
  • Source Task ID: Marks the corresponding import task ID for easy tracking of data origins.
  • Import Time: Displays the specific time when the data was imported into the system, helping you understand the freshness of the data.
  • Actions: Provides a "View" button that allows you to view detailed information about the data.

Query and Filter Data

To help you quickly locate the target data, the platform offers query and filter functions:

  • At the top of the page, you can enter the Data ID or Task ID, and the system will automatically filter and display the matching data items.
  • After clicking the "Query" button, the data list will update to show only the data that meets the criteria, allowing you to quickly find the required information.

Batch Operations on Data

Delete Data

  • How to Delete:
    • Select the data items to be deleted by checking the checkboxes on the left side of the data list.
    • After clicking the "Delete" button, the system will delete the selected data items.
  • Note:
    • Deletion is irreversible, so please be cautious when selecting data to delete.
    • If no data items are selected and the "Delete" button is clicked, the system will prompt "Please select a data item from the list."

Download Data

  • Data Export:
    • The current page does not provide direct download functionality. You can use the "Export" button to create a data export task.
    • After the export task is successfully created, you can view and download the exported data files on the export page.

With an intuitive data query interface and a variety of batch operation features, you can easily manage and operate on cleaned data. Whether it's filtering data quickly by Data ID or Task ID or performing batch operations like data deletion and export, these functions significantly enhance data management efficiency. Mastering the data query functions helps you more effectively utilize cleaned data for subsequent analysis and applications.

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We have already understood the data privacy needs of enterprises. In addition to the SaaS version, the Docker deployment version is also in full preparation
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