---
sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

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    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Add a dataset from a file

# Add a dataset from a file {#ariaid-title1}

Release version: Brazil  
Updated October 9, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read  
Create a dataset by importing records from a CSV or Excel file on your computer.

## Before you begin

Role required: sn_data_kit.admin

## About this task

You can import a CSV or XLSX file of up to 1,024 MB. The first row of the file must contain the column names. The file can contain up to 10,000 rows, including the header row, so a file can hold up to 9,999 records.  
Important:  
Records that you import from a file don't inherit access controls from any table, even if the data was originally exported from one. Anyone with an AI Data Kit role can view the records. Before you upload a file, remove any data that not everyone with an AI Data Kit role should see.

The original file is stored with the dataset, including any columns that you don't select.

## Procedure

1. Navigate to AllAI Data KitHome.
2. In the An overview of your data assets section, on the Datasets tab, select Create dataset.
3. In the Choose data section, select Import data from my computer.
4. **Optional:** To see the expected file layout, select Download sample file.
5. In the Choose file section, select Add file and choose the file on your computer.
6. In the Upload a file dialog box, review the Title and select Upload.  
   The title names the uploaded file, not the dataset, and it's filled in from the file name. You name the dataset later.
7. In the Define Columns section, select the check box for each column to include, and select a data type for each column.  
   The columns come from the first row of the file. To select all columns, select the check box next to Columns.

   The
   data type is String by default.
8. Select Validate and Preview.  
   The
   Preview Dataset section shows the records with the columns that you selected. Column labels are generated from the column names in the file.
9. Review the preview, and then select Continue.  
   Continue isn't available until you validate the file.
10. In the Add dataset info section, fill in the fields.  
    {#add-dataset-file__table_adf_dataset_info__entry__2}

    | Field | Description |
    |-|-|
    | Dataset name | Name of the dataset. Required. |
    | Description | Description of the dataset that helps you and others find it later. |
    | Source type | Read-only. |
    | Tags | Keywords for the dataset. Press Enter after each tag. |
    [Table 1. Add dataset info fields]

    {#add-dataset-file__table_adf_dataset_info}
11. In the Data governance section, select the I'm assuring to use data responsibly for AI Evaluation check box.  
    Add data isn't available until you select this check box.
12. Select Add data.  
    The dataset page opens with a state of In progress. Adding the records can take a few minutes. When it finishes, the state changes to Active.

## What to do next

After the dataset is Active, you can [scan it for sensitive data](https://www.servicenow.com/docs/qtH_BYLZAsGRafo7yaXM5A "Scan a dataset for personally identifiable information (PII) and other sensitive data, and cleanse the records that the scan finds."), [create a derived dataset](https://www.servicenow.com/docs/RzgYdXt7cK4IZriEAsSycg "Create a smaller dataset from an existing dataset by selecting records manually or by random sampling."), [add ground truth](https://www.servicenow.com/docs/3vCh~Vt0TiREOugFmDhZ5w "Add a ground truth, which is the real-world data that is used to train and test AI models to each dataset record. You can perform this task by using the AI Data Kit application."), or [add it to a data collection](https://www.servicenow.com/docs/lMBxQ5Pc_qQqWN5MglvFpQ "Combine one or more datasets into a data collection, choosing the columns and records to include. Then, publish the collection so that you can use it to evaluate a skill in AI Skill Kit.").

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