assignment_strategy: random
max_annotations_per_item: 3

assignment_strategy: fixed_order
max_annotations_per_item: 2

assignment_strategy: least_annotated
max_annotations_per_item: 5

assignment_strategy: max_diversity
max_annotations_per_item: 4

assignment_strategy: active_learning
 
active_learning:
  enabled: true
  schema_names: ["sentiment"]
  min_annotations_per_instance: 2
  min_instances_for_training: 20
  update_frequency: 10

# Strategy selection
assignment_strategy: random
 
# Limits
max_annotations_per_user: 10    # -1 for unlimited
max_annotations_per_item: 3     # -1 for unlimited
 
# Optional: nested configuration
assignment:
  strategy: random
  max_annotations_per_item: 3
  random_seed: 1234

automatic_assignment:
  on: true
  output_filename: task_assignment.json
  sampling_strategy: random    # 'random' or 'ordered'
  labels_per_instance: 3       # Annotations per item
  instance_per_annotator: 5    # Items per annotator
  test_question_per_annotator: 0

text,id
"This is test question 1",0_testing
"Regular item",dkjfd

[
  {"id": "0_testing", "text": "This is a test question"},
  {"id": "regular_001", "text": "Normal annotation item"}
]

automatic_assignment:
  on: true
  test_question_per_annotator: 2  # Insert 2 test questions per annotator

annotation_task_name: "Sentiment Analysis"
assignment_strategy: random
max_annotations_per_user: 20
max_annotations_per_item: 3

annotation_task_name: "Quality Annotation"
assignment_strategy: max_diversity
max_annotations_per_item: 5
max_annotations_per_user: 50

annotation_task_name: "Crowdsourced Task"
assignment_strategy: random
max_annotations_per_user: 10
max_annotations_per_item: 3
 
# Crowdsourcing settings
hide_navbar: true
jumping_to_id_disabled: true
 
login:
  type: url_direct
  url_argument: workerId

assignment_strategy: active_learning
 
active_learning:
  enabled: true
  schema_names: ["sentiment", "topic"]
  min_annotations_per_instance: 2
  min_instances_for_training: 20
  update_frequency: 10
  classifier_name: "sklearn.linear_model.LogisticRegression"
  vectorizer_name: "sklearn.feature_extraction.text.TfidfVectorizer"