## List custom-rubric evaluations for a dataset, newest first

`datasets.custom_evals.list(strdataset_id)  -> CustomEvalListResponse`

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

List custom-rubric evaluations for a dataset, newest first

### Parameters

- `dataset_id: str`

### Returns

- `class CustomEvalListResponse: …`

  - `items: List[CustomEval]`

    - `custom_eval_id: str`

    - `dataset_id: str`

    - `status: str`

      pending | running | succeeded | failed

    - `judge_prompt: str`

    - `name: Optional[str]`

    - `score_before: Optional[float]`

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

    - `score_after: Optional[float]`

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

    - `improvement_percent: Optional[float]`

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

    - `scored_rows: Optional[int]`

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

    - `error_message: Optional[str]`

    - `created_at: datetime`

    - `completed_at: Optional[datetime]`

### Example

```python
import os
from adaption import Adaption

client = Adaption(
    api_key=os.environ.get("ADAPTION_API_KEY"),  # This is the default and can be omitted
)
custom_evals = client.datasets.custom_evals.list(
    "dataset_id",
)
print(custom_evals.items)
```

#### Response

```json
{
  "items": [
    {
      "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"
    }
  ]
}
```