Skip to main content
The Data screen, titled Your examples, holds the files your models learn from. Every file gets a format check before you train on it. For tips on preparing a good dataset, see the Datasets guide.
Valkyrie Data screen listing uploaded example files

Your examples: every file with its format check and what it taught.

​
The file list

Each row shows: Use the icons at the end of a row to download or delete the file. Upload data at the top right adds a new one. Ready-made example sets (“Start from an example set”) are marked Coming soon.

​
A dataset’s page

Click a file to open it.
Valkyrie dataset detail screen with format check and taught cards

A dataset's page: format check, what it taught, and the next step.

  • Format check shows the result, the Detected format (for example alpaca or chat), the Columns found, and the Rows checked in the first part of the file. The total row count is marked Coming soon.
  • Taught lists every model version trained on this file, with its status. Click one to open it in Models.
  • Sample rows and Clean it up (remove duplicates, flag long examples, and more) are marked Coming soon.
The buttons at the top are Download, Delete, and Fine-tune with these, which opens New fine-tune with this file selected.
Deleting a file does not affect models you have already trained from it.

​
Upload examples

Click Upload data to open Upload examples.
Valkyrie Upload examples screen

Upload examples: drop a file and Valkyrie checks it right away.

1

Choose a file

Drop a file on the page or click Choose file. Valkyrie accepts JSONL, JSON, CSV, Parquet, or text files up to 2 GB.
2

Name it (optional)

The name defaults to the file name.
3

Upload

Click Upload. Valkyrie checks the format as soon as the file lands and opens the dataset’s page with the result.
The page also shows What a good example looks like: one example per line, as a conversation:
Instruction and response pairs, prompt and completion, plain text, and label columns for classification are accepted too.
No data yet? Download the ready-made sample, customer-sentiment.jsonl or customer-sentiment.csv, from the No data yet? card and upload it to try the whole flow.