## Start a custom-rubric evaluation for an adapted dataset

**post** `/api/v1/datasets/{dataset_id}/custom-evals`

Start a custom-rubric evaluation for an adapted dataset

### Path Parameters

- `dataset_id: string`

### Body Parameters

- `judge_prompt: string`

  The judge rubric. Scored per sample against the original and adapted pairs.

- `name: optional string`

  Optional label so a history of rubrics stays legible.

### Returns

- `CustomEval object { custom_eval_id, dataset_id, status, 9 more }`

  - `custom_eval_id: string`

  - `dataset_id: string`

  - `status: string`

    pending | running | succeeded | failed

  - `judge_prompt: string`

  - `name: string`

  - `score_before: number`

    Mean rubric score on the original pairs. Null until the eval succeeds.

  - `score_after: number`

    Mean rubric score on the adapted pairs. Null until the eval succeeds.

  - `improvement_percent: number`

    Percentage change from score_before to score_after. Null until the eval succeeds.

  - `scored_rows: number`

    Rows the judge scored. A rubric score is an average over this sample, not the whole dataset.

  - `error_message: string`

  - `created_at: string`

  - `completed_at: string`

### Example

```http
curl https://api.prod.adaptionlabs.ai/api/v1/datasets/$DATASET_ID/custom-evals \
    -H 'Content-Type: application/json' \
    -H "Authorization: Bearer $ADAPTION_API_KEY" \
    -d '{
          "judge_prompt": "Rate how factually accurate the response is, from 0 (fabricated) to 10 (fully supported)."
        }'
```

#### Response

```json
{
  "custom_eval_id": "custom_eval_id",
  "dataset_id": "dataset_id",
  "status": "running",
  "judge_prompt": "judge_prompt",
  "name": "name",
  "score_before": 0,
  "score_after": 0,
  "improvement_percent": 0,
  "scored_rows": 0,
  "error_message": "error_message",
  "created_at": "2019-12-27T18:11:19.117Z",
  "completed_at": "2019-12-27T18:11:19.117Z"
}
```