---
title: "Get task"
method: GET
path: "/api/tasks/{id}/"
tags: ["Tasks"]
---

# Get task

`GET /api/tasks/{id}/`

Get task data, metadata, annotations and other attributes for a specific labeling task by task ID.

## Path parameters

- `id` string, required

## Response `200`

- union
  - LseTask — Data Manager Task Serializer with FSM state support.
    - `agreement` number, double, required
    - `agreement_selected` number, double, required
    - `allow_skip` boolean, nullable — Whether this task can be skipped. Set to False to make task unskippable.
    - `annotation_time` integer, nullable, required
    - `annotations` object[], required — Return annotations for the task. If annotations_stub=True is in context (via feature flag fflag_fix_all_fit_720_lazy_load_annotations), returns lightweight annotation stubs without result data for improved performance.
    - `annotations_ids` string, required
    - `annotations_results` string, required
    - `annotators` object[], required — Who annotated this task; each item includes user_id plus minimal profile fields for Data Manager display.
    - `annotators_count` integer, required — The annotators_count is calculated as the number of users with annotations (can be repeated, so same as the number of annotations) + the number of assignees without annotations.
    - `avg_lead_time` number, double
    - `cancelled_annotations` integer
    - `comment_authors` object[], required
    - `comment_authors_count` integer, required
    - `comment_count` integer — Number of comments in the task including all annotations
    - `comments` string, required
    - `completed_at` string, date-time
    - `created_at` string, date-time, required — Time a task was created
    - `data` object, required — User imported or uploaded data for a task. Data is formatted according to the project label config. You can find examples of data for your project on the Import page in the Label Studio Data Manager UI.
    - `draft_exists` boolean
    - `drafts` object[], required — Drafts for this task
      - `created_at` string, date-time
      - `result` object[]
      - `updated_at` string, date-time
    - `file_upload` string, nullable, required
    - `ground_truth` boolean
    - `id` integer, required
    - `inner_id` integer
    - `is_labeled` boolean — True if the number of annotations for this task is greater than or equal to the number of maximum_completions for the project
    - `last_comment_updated_at` string, date-time, nullable — When the last comment was updated
    - `meta` unknown
    - `overlap` integer — Number of distinct annotators that processed the current task
    - `precomputed_agreement` number, double, nullable — Average agreement score for the task
    - `predictions` object[], required — Predictions for this task
      - `created_at` string, date-time
      - `model` object
      - `model_run` object
      - `model_version` string
      - `project` integer
      - `result` object[]
      - `score` number
      - `task` integer
      - `updated_at` string, date-time
    - `predictions_model_versions` string, required
    - `predictions_results` string, required
    - `predictions_score` number, double
    - `project` integer, nullable — Project ID for this task
    - `review_time` integer, nullable, required
    - `reviewed` boolean
    - `reviewers` object[], required
    - `reviewers_count` integer, required
    - `reviews_accepted` integer
    - `reviews_rejected` integer
    - `state` string, required
    - `storage_filename` string, nullable, required
    - `total_annotations` integer
    - `total_predictions` integer
    - `unresolved_comment_count` integer — Number of unresolved comments in the task including all annotations
    - `updated_at` string, date-time, required — Last time a task was updated
    - `updated_by` object[], required — User IDs who updated this task
  - LseTaskSerializerForReviewers — Data Manager Task Serializer with FSM state support.
    - `agreement` number, double, required
    - `agreement_selected` number, double, required
    - `allow_skip` boolean, nullable — Whether this task can be skipped. Set to False to make task unskippable.
    - `annotation_time` integer, nullable, required
    - `annotations` object[], required — Return annotations for the task. If annotations_stub=True is in context (via feature flag fflag_fix_all_fit_720_lazy_load_annotations), returns lightweight annotation stubs without result data for improved performance.
    - `annotations_ids` string, required
    - `annotations_results` string, required
    - `annotators` object[], required — Who annotated this task; each item includes user_id plus minimal profile fields for Data Manager display.
    - `annotators_count` integer, required — The annotators_count is calculated as the number of users with annotations (can be repeated, so same as the number of annotations) + the number of assignees without annotations.
    - `avg_lead_time` number, double
    - `cancelled_annotations` integer
    - `comment_authors` object[], required
    - `comment_authors_count` integer, required
    - `comment_count` integer — Number of comments in the task including all annotations
    - `comments` string, required
    - `completed_at` string, date-time
    - `created_at` string, date-time, required — Time a task was created
    - `data` object, required — User imported or uploaded data for a task. Data is formatted according to the project label config. You can find examples of data for your project on the Import page in the Label Studio Data Manager UI.
    - `draft_exists` boolean
    - `drafts` object[], required — Drafts for this task
      - `created_at` string, date-time
      - `result` object[]
      - `updated_at` string, date-time
    - `file_upload` string, nullable, required
    - `ground_truth` boolean
    - `id` integer, required
    - `inner_id` integer
    - `is_labeled` boolean — True if the number of annotations for this task is greater than or equal to the number of maximum_completions for the project
    - `last_comment_updated_at` string, date-time, nullable — When the last comment was updated
    - `meta` unknown
    - `overlap` integer — Number of distinct annotators that processed the current task
    - `precomputed_agreement` number, double, nullable — Average agreement score for the task
    - `predictions` object[], required — Predictions for this task
      - `created_at` string, date-time
      - `model` object
      - `model_run` object
      - `model_version` string
      - `project` integer
      - `result` object[]
      - `score` number
      - `task` integer
      - `updated_at` string, date-time
    - `predictions_model_versions` string, required
    - `predictions_results` string, required
    - `predictions_score` number, double
    - `project` integer, nullable — Project ID for this task
    - `review_time` integer, nullable, required
    - `reviewed` boolean
    - `reviewers` object[], required
    - `reviewers_count` integer, required
    - `reviews_accepted` integer
    - `reviews_rejected` integer
    - `state` string, required
    - `storage_filename` string, nullable, required
    - `total_annotations` integer
    - `total_predictions` integer
    - `unresolved_comment_count` integer — Number of unresolved comments in the task including all annotations
    - `updated_at` string, date-time, required — Last time a task was updated
    - `updated_by` object[], required — User IDs who updated this task
  - LseTaskSerializerForAnnotators — Data Manager Task Serializer with FSM state support.
    - `annotations` object[], required — Return annotations for the task. If annotations_stub=True is in context (via feature flag fflag_fix_all_fit_720_lazy_load_annotations), returns lightweight annotation stubs without result data for improved performance.
    - `annotations_results` string, required
    - `cancelled_annotations` integer
    - `comment_count` integer, required
    - `comments` string, required
    - `created_at` string, date-time, required — Time a task was created
    - `data` object, required — User imported or uploaded data for a task. Data is formatted according to the project label config. You can find examples of data for your project on the Import page in the Label Studio Data Manager UI.
    - `draft_exists` boolean
    - `drafts` object[], required — Drafts for this task
      - `created_at` string, date-time
      - `result` object[]
      - `updated_at` string, date-time
    - `id` integer, required
    - `predictions` object[], required — Predictions for this task
      - `created_at` string, date-time
      - `model` object
      - `model_run` object
      - `model_version` string
      - `project` integer
      - `result` object[]
      - `score` number
      - `task` integer
      - `updated_at` string, date-time
    - `predictions_results` string, required
    - `predictions_score` number, double
    - `reviews_rejected` integer
    - `state` string, required
    - `total_annotations` integer
    - `total_predictions` integer
    - `unresolved_comment_count` integer, required

---

[API](https://skmtc.net/humansignal/apis/label-studio-api.md) · [All operations](https://skmtc.net/humansignal/apis/label-studio-api/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/humansignal/label-studio-api/versions/1b113b8df950/schema)