# Displaying Only Label Values in Data Manager of Annotation Tool

**URL:** <https://community.labelstud.io/t/displaying-only-label-values-in-data-manager-of-annotation-tool/170>\
**Category:** Label Studio SDK\
**Tags:** custom-ui\
**Created:** [May 10, 2024, 6:23pm UTC](https://community.labelstud.io/t/displaying-only-label-values-in-data-manager-of-annotation-tool/170 "2024-05-10T18:23:22Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![sajarin](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.labelstud.io/sajarin/32/56_2.png) [@sajarin](https://community.labelstud.io/u/sajarin)\
**Post date:** [May 10, 2024, 6:23pm UTC](https://community.labelstud.io/t/displaying-only-label-values-in-data-manager-of-annotation-tool/170/1 "2024-05-10T18:23:22Z")

</div>

#### Question:

> In the data manager of our annotation tool, the annotation results display the entire content of the result including metadata. I am interested in finding a way to show only the label values, regardless of the label type. Does anyone have suggestions on how to achieve this?

#### Answer:

Unfortunately, the feature to display only label values directly within the data manager is currently not available but is on our product roadmap for future updates.

However, there is a workaround using the Label Studio SDK that you can implement. The following steps and example script will allow you to extract labels from all annotations and display them in a separate column within the data manager:

1. Write a script using the Label Studio SDK to go through all tasks in your project.
2. Extract labels from all `task.annotations.result` items.
3. Save these labels as a list in `task.data['labels']` using the provided API endpoint (`PATCH api/tasks/id`).

Do note that the labels displayed in the separate data manager column won’t be reactive, meaning the script needs to be rerun occasionally to update the labels with new annotation results.

**Here’s a basic example script:**

```python
from label_studio_sdk import Client

# Initialize the Label Studio SDK Client
LABEL_STUDIO_URL = 'http://localhost:8080' # Replace with actual Label Studio URL
API_KEY = 'your_api_key_here' # Replace with actual Label Studio API key

# Connect to Label Studio
ls = Client(url=LABEL_STUDIO_URL, api_key=API_KEY)

# Specify the project ID
PROJECT_ID = 1 # Replace with your project ID

# Get all tasks in the project
tasks = ls.get_project(PROJECT_ID).get_tasks()

# Process each task
for task in tasks:
    labels = [result['value']['labels'] for annotation in task['annotations'] for result in annotation['result'] if 'value' in result and 'labels' in result['value']]
    
    # Remove duplicates
    unique_labels = list(set(labels))

    # Update the task with the new label list
    task_id = task['id']
    task_data = task['data']
    task_data['labels'] = unique_labels
    ls.update_task(task_id=task_id, data=task_data)

print('All tasks have been updated with extracted labels.')

```

Before running the script, ensure that you have replaced `LABEL_STUDIO_URL`, `API_KEY`, `PROJECT_ID`, and any other placeholders with the correct values for your setup. Additionally, the script assumes that your data’s label architecture is under `result['value']['labels']`. If your data is structured differently, you will need to modify the path within the script.