---
title: "POST /api/v1/public/datasets/{datasetId}/start-augmentation"
method: POST
path: "/api/v1/public/datasets/{datasetId}/start-augmentation"
tags: ["Public Datasets"]
---

# POST /api/v1/public/datasets/{datasetId}/start-augmentation

`POST /api/v1/public/datasets/{datasetId}/start-augmentation`

Start data augmentation process to generate additional training examples from existing datapoints

## Path parameters

- `datasetId` string, uuid, required

## Request body

- StartDataAugmentationRequest
  - `temperature` number — Controls randomness in augmentation generation (0.0-1.0). Default: 0.1
  - `datapoints_to_generate` integer, required — Number of new datapoints to generate
  - `user_instructions` string — Optional instructions to guide the augmentation process

## Response `200`

Data augmentation started successfully

- StartDataAugmentationResponse
  - `message` string, required

## Other responses

- `400` — Bad request
- `402` — Insufficient credits
- `404` — Dataset not found

---

[API](https://skmtc.net/premai-io/apis/prem-studio-api.md) · [All operations](https://skmtc.net/premai-io/apis/prem-studio-api/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/premai-io/prem-studio-api/versions/2cb1f5df1b89/schema)