# set\_ground\_truth

The `leap_binder.set_ground_truth` binding function points to the [**Ground Truth Encoder**](/tensorleap-integration/writing-integration-code/ground-truth-encoder.md) and `name` for reference.

```python
code_loader.leap_binder.set_ground_truth(
    function=Callable[[int, PreprocessingResponse], np.ndarray]
    name=str
)
```

<table><thead><tr><th width="150">Args</th><th></th></tr></thead><tbody><tr><td><code>function</code></td><td><em>(Callable)</em> This parameter points to the <a href="/pages/qN1biq0MVRbxJTD89ase"><strong>Ground Truth Encoder</strong></a> function mentioned above.</td></tr><tr><td><code>name</code></td><td><em>(str)</em> with the given name of the <strong>input, e.</strong>g. image</td></tr></tbody></table>

### Examples

#### Basic Usage

```python
from code_loader import leap_binder
from code_loader.contract.datasetclasses import PreprocessResponse

...
def gt_encoder(idx: int, preprocessing: Union[PreprocessResponse, list]) -> np.ndarray:
    return preprocessing.data.iloc[idx]['ground_truth'].astype('float32')

leap_binder.set_ground_truth(
    function=gt_encoder,
    gt_name='classes'
)
```

Usage within the full script can be found at [**Integration Script**](/tensorleap-integration/writing-integration-code.md#dataset-script).

#### Guides

Full examples can be found at the **Dataset Integration** section of the following guides:

* [**MNIST Guide**](/guides/full-guides/mnist-guide.md)
* [**IMDB Guide**](/guides/full-guides/imdb-guide.md)


---

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