Create a new correction session.
If no documents are given, they will be randomly chosen.
Path Parameters
- project_id integer required
ID of the project
- application/json
Request Body required
- model_id integer required
ID of the model
- sample_size integer
Sample size
- name string
Name of the correction session
- 201
- 400
- 401
- 403
- 404
- 409
- 500
Correction was created
- application/json
- Schema
- Example (from schema)
Schema
- created date-time
When the session was started.
- finished date-time
When the session was finished.
- document_count integer
Total of documents
- document_group_id integer
ID of the document group related to the session, if any
- organization_id integer
ID of the organization to which the session belongs.
- user_id integer
ID of the user to which the session belongs.
- project_id integer
ID of the project to which the session belongs.
- uuid uuid
The unique ID of the session.
- id integer
The ID of the session.
- name string
The session's name.
- progress float
The session's progress.
model object
The model that is being improved
id integerThe ID of the model.
display_name stringThe model's display_name.
- status string
Possible values: [
CREATED
,STARTED
,ANNOTATING
,FAILED
,FINISHED
,SAMPLING
,PREDICTING
,DELETING
]The session's status.
- mode string
Possible values: [
CORRECTION
]The session's mode.
- type string
Possible values: [
ABSA
,CLASS
,LABEL
,CLASSLABEL
]The session's classification type.
- description string
The session's description.
- classes string[]
All classes that belong to the session
- labels string[]
All labels that belong to the session
- predicted_score integer
The projected new score
{
"created": "2023-11-02",
"finished": "2023-11-02",
"document_count": 100,
"document_group_id": 87,
"organization_id": 1,
"user_id": 1,
"project_id": 1,
"uuid": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
"id": 1,
"name": "This is my first correction session",
"progress": 87.7,
"model": {
"id": 1,
"display_name": "This is my model"
},
"status": "CREATED",
"mode": "CORRECTION",
"type": "ABSA",
"description": "string",
"classes": [
"Comfort"
],
"labels": [
"POS"
],
"predicted_score": 0
}
The body sent is invalid. Check the error message for more details
User is not authenticated. This means token is either not present or invalid
User does not have the minimal required project role "ANNOTATOR"
The project or the model was not found
All documents are annotated.
Something is wrong with the API.