Skip to main content

​
Download The Sample Dataset Files

You can upload files or directories from your local machine to create a new Dataset.For this quickstart tutorial, we will use two pre-generated files: train.bin and val.bin that you can download to your machine by using the links below:

​
Uploading files to the FlexAI Dataset Manager Service

Navigate to the Dataset Manager in the FlexAI Console:
1

Visit the Add Dataset section

Visit the “Add Dataset” section of the FlexAI Console
2

Enter a name for your dataset

Enter a name for your dataset: nanoGPT-dataset
3

Select the Local option

Select the “Local” option for “Upload Origin”
4

Upload Items

Select the + Upload Item button to open the “Upload Items” dialog
Use the “Select file” option to open a file browser dialog:
1

Select both files

Select both train.bin and val.bin files from your local machine
  • Depending on your system and browser, you might need to hold down the Ctrl/Cmd key while selecting multiple files
  • When selecting multiple files, your browser might prompt you with a confirmation message asking you to allow multiple file selection.
  • You can also select files individually if you prefer
2

Enter destination path

In the “Destination Path” field, enter shakespeare_char
3

Add files

Select the Add button to confirm the file selection and destination mapping
The “Upload Items” dialog will close and you will get back to the “Add a Dataset” form, where you will see the files you just added listed under the “Upload Items” section. Here you will see a list of files similar to the one below:
shakespeare_char/
├── train.bin (1.91MB)
└── val.bin (217.85KB)
Below the file list you will find an + Add items button that will open up the “Upload Items” dialog again, in case you want to add more files or directories to the Dataset.Finally, select the Add Dataset button to start the upload process.

​
Dataset structure

Once upload is complete, you can select the gear icon ⚙️ (labeled as Configure) in the Actions field of the Dataset list page. This will open the Dataset “Details” panel where you will be able to see the Dataset’s name, status, creation date, and a list of files that were uploaded as part of the Dataset.

​
Summary

  • Name: nanoGPT-dataset
  • Status: Ready
  • Creation Time: 8/5/2025, 2:13:07 PM

​
Details

shakespeare_char/
├── train.bin (1.191MB)
└── val.bin (217.85KB)
To learn more about the ways your workloads can access Datasets, check out the Runtime Access section of the Dataset Manager overview page.