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Datasets are the training data for your fine-tuning jobs. You upload a dataset once and reference it from any number of jobs.
Valkyrie Datasets screen

The Datasets screen: name, files, size, and dataset ID.

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Upload a dataset

1

Open Datasets

In the dashboard, go to Datasets and choose to add a new dataset.
2

Upload your file

Provide your dataset file. Valkyrie issues a secure upload URL and stores the file for you.
3

Reference it in a job

When you create a fine-tuning job, select this dataset as the training data.

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Formatting your data

Fine-tuning expects structured conversational or instruction data. A common, portable shape is JSON Lines (.jsonl), one training example per line, for example a chat-style record:
Keep examples consistent in structure and representative of how the model will be prompted in production. Quality and consistency matter more than raw volume.

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Managing datasets

From the Datasets screen (or via the MCP tools) you can:
  • List your datasets and inspect their metadata.
  • Download a dataset with a temporary signed URL.
  • Delete a dataset you no longer need.
Datasets are stored in object storage. Deleting a dataset does not affect models you’ve already trained from it.