---
title: "Validate a dataset for fine-tuning"
method: POST
path: "/api/finetuning-jobs/validate-dataset/"
tags: ["finetuning-jobs"]
---

# Validate a dataset for fine-tuning

`POST /api/finetuning-jobs/validate-dataset/`

## Request

- Base URL: `https://api.overmindlab.ai`
- URL: `https://api.overmindlab.ai/api/finetuning-jobs/validate-dataset/`
- Auth: one of:
  - HTTP bearer
  - API key in header `X-Api-Key`
  - API key in cookie `sessionid`
  - API key in header `X-Api-Key`
  - HTTP bearer

Check whether a dataset's datapoints conform to Together AI's format.

## Request body

- DatasetValidateRequestRequest
  - `dataset_id` string, uuid, required
  - `cell_id` string, uuid
  - `validation_cell_id` string, uuid
  - `validation_dataset_id` string, uuid, nullable
  - `validation_enabled` boolean
  - `validation_split_ratio` number, double
  - `split_method` 'random' | 'ordered': * `random` - random * `ordered` - ordered

## Response `200`

- DatasetValidationResponse: Mirrors ``ValidationResult.as_dict()``.
  - `valid` boolean, required
  - `format` string, required
  - `num_examples` integer, required
  - `errors` string[], required
  - `warnings` string[], required
  - `stats` DatasetValidationStats, required: ``ValidationResult.stats`` — sparse; keys depend on validation path.
    - `checkpoint` string, uuid
    - `total_examples` integer
    - `trainable_examples` integer
    - `train_examples` integer
    - `val_examples` integer
    - `validation_mode` string
    - `split_method` string
    - `format` string
    - `tool_calling_examples` integer
    - `max_token_length` integer

---

[API](https://skmtc.dev/overmindlab/apis/overmind-api.md) - [All operations](https://skmtc.dev/overmindlab/apis/overmind-api/llms.txt) - [OpenAPI document](https://skmtc.dev/overmindlab/apis/overmind-api/revisions/0ecfd39e80c6?raw)