# SquirroNERGroundtruthLoader **`class SquirroNERGroundtruthLoader(config)`** Bases: [`SquirroQueryLoader`](squirro.lib.nlp.steps.loaders.SquirroQueryLoader.md#squirro.lib.nlp.steps.loaders.SquirroQueryLoader) Loads items from a Squirro instance using the [`SquirroClient`](../technical/api/squirro_client/squirroclient-class.md#squirro_client.SquirroClient) and transforms the items into [`Document`](../technical/libnlp/base.md#squirro.lib.nlp.document.Document) items. **Note** - The fields client_id, client_secret, cluster, token and project_id do not need to be set if it is used inside the Squirro machinelearning service Parameters - `batch_size` ([`int`](https://docs.python.org/3.11/library/functions.html#int)`, ``1000`) – size of Squirro query batch - `client_id` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``None`) – Squirro client id - `client_secret` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``None`) – Squirro client secret - `cluster` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)) – Squirro cluster - `token` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)) – Squirro token - `project_id` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)) – id of Squirro project - `ner_groundtruth_id` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)) – id of the Squirro Ground Truth **Example** ```json { "step": "loader", "type": "squirro_ner_groundtruth", "batch_size": 100, "cluster": "CLUSTER", "token": "TOKEN", "project_id": "PROJECT_ID", "fields": ["body"], "ner_groundtruth_id": "NER_GROUNDTRUTH_ID", } ``` Methods SummaryMethods Documentation **`process(_)`** Process a query and yield documents. **Arguments** dataset (dict): Dictionary containing query strings Yields _Document_ – A document from a query