## Add items to an existing dataset

`dataset_items.batch_create(DatasetItemBatchCreateParams**kwargs)  -> DatasetItemBatchCreateResponse`

**post** `/v5/dataset-items/batch`

Add one or more items in a single batch to a dataset that already exists.

Use this to append items to an existing dataset; to create a dataset together with its initial
items in one call, use POST /v5/datasets instead (this endpoint does not create datasets).
Items are only ever added in a batch — there is no single-item create endpoint. The target
dataset is identified by the required dataset_id in the request body, and each entry in data
(at least one is required) becomes one item, optionally paired with the files entry at the same
list index — when files is supplied it must be the same length as data. Each referenced file
must exist and be a supported media format, and item keys may not collide with reserved dataset-
or evaluation-item field names. The target dataset must not be archived. The batch is applied as
a new dataset version snapshot rather than mutating existing versions, and the created items are
returned.

### Parameters

- `data: Iterable[Dict[str, object]]`

  Items to be added to the dataset

- `dataset_id: str`

  Identifier of the target dataset

- `files: Optional[Iterable[Dict[str, str]]]`

  Files to be associated to the dataset

### Returns

- `class DatasetItemBatchCreateResponse: …`

  - `items: List[DatasetItem]`

    - `id: str`

      The unique identifier of the entity.

    - `content_hash: str`

    - `created_at: datetime`

      The date and time when the entity was created in ISO format.

    - `created_by: Identity`

      The identity that created the entity.

      - `id: str`

      - `type: Literal["user", "service_account"]`

        - `"user"`

        - `"service_account"`

      - `object: Optional[Literal["identity"]]`

        - `"identity"`

    - `data: Dict[str, object]`

    - `updated_at: datetime`

      The date and time when the entity was last updated in ISO format.

    - `archived_at: Optional[datetime]`

      The date and time when the entity was archived in ISO format.

    - `dataset_id: Optional[str]`

    - `files: Optional[Dict[str, str]]`

    - `object: Optional[Literal["dataset.item"]]`

      - `"dataset.item"`

  - `object: Optional[Literal["list"]]`

    - `"list"`

### Example

```python
import os
from scale_gp_beta import SGPClient

client = SGPClient(
    api_key=os.environ.get("SGP_API_KEY"),  # This is the default and can be omitted
)
response = client.dataset_items.batch_create(
    data=[{
        "foo": "bar"
    }],
    dataset_id="dataset_id",
)
print(response.items)
```

#### Response

```json
{
  "items": [
    {
      "id": "id",
      "content_hash": "content_hash",
      "created_at": "2019-12-27T18:11:19.117Z",
      "created_by": {
        "id": "id",
        "type": "user",
        "object": "identity"
      },
      "data": {
        "foo": "bar"
      },
      "updated_at": "2019-12-27T18:11:19.117Z",
      "archived_at": "2019-12-27T18:11:19.117Z",
      "dataset_id": "dataset_id",
      "files": {
        "foo": "string"
      },
      "object": "dataset.item"
    }
  ],
  "object": "list"
}
```