> For the complete documentation index, see [llms.txt](https://developer.mediarithmics.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.mediarithmics.io/advanced-usages/data-clean-room/dataset.md).

# Dataset

## Create a Segment catalog dataset from your datamart

<mark style="color:green;">`POST`</mark> [`https://api.mediarithmics.com/v1/datasets?bunker_id={{bunker_id}}`](https://api.mediarithmics.com/v1/datasets?bunker_id={{bunker_id}})

**Body parameters**

| Name              | Type             | Description                                                                             |
| ----------------- | ---------------- | --------------------------------------------------------------------------------------- |
| `organisation_id` | string           | ID of the organisation attached to the bunker                                           |
| `datamart_id`     | string           | ID of the datamart attached to the bunker                                               |
| `bunker_id`       | string           | ID of the bunker in which to create the dataset                                         |
| `name`            | string           | Name of the dataset                                                                     |
| `description`     | string           | Description of the dataset                                                              |
| `label_ids`       | array of strings | All segments linked to at least one of the provided labels will be added in the dataset |
| `expiration_ts`   | integer          | Expiration timestamp of the dataset in ms                                               |

**Body example**

```json
{
  "dataset":{
    "source":"DATAMART",
    "type":"SEGMENT_CATALOG",
    "organisation_id":"1912",
    "datamart_id": "1996",
    "bunker_id":"110",
    "name":"Insights catalog",
    "description":"Catalog for insights generation",
    "label_ids": ["1263","1264"],
    "expiration_ts":1806157679000
  }
}  
```

**Response**

{% tabs %}
{% tab title="200" %}

```json
{
  "status": "ok",
  "data": {
    "type": "SEGMENT_CATALOG",
    "id": "3326",
    "expiration_ts": 1806157679000,
    "type": "SEGMENT_CATALOG",
    "organisation_id": "1912",
    "bunker_id": "110",
    "name": "Insights catalog",
    "source": "DATAMART",
    "created_by": "3594",
    "created_ts": 1781771031958,
    "last_modified_by": null,
    "last_modified_ts": null,
    "archived_by": null,
    "archived_ts": null,
    "archived": false,
    "properties": [],
    "records_count": 0,
    "status": "SYNCHRONIZATION_PENDING",
    "datamart_id": "1996",
    "label_ids": [
      "1263",
      "1264"
    ],
    "organisation_name": "AV Sub 1.5",
    "description": "Catalog for insights generation"
  }
}
```

{% endtab %}
{% endtabs %}


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