annotation_schemes:
  - annotation_type: span
    name: entities
    description: "Highlight named entities in the text"
    labels:
      - PERSON
      - ORGANIZATION
      - LOCATION

labels:
  - PERSON
  - ORGANIZATION
  - LOCATION
  - DATE
  - EVENT

label_colors:
  PERSON: "#3b82f6"
  ORGANIZATION: "#10b981"
  LOCATION: "#f59e0b"
  DATE: "#8b5cf6"
  EVENT: "#ec4899"

keyboard_shortcuts:
  PERSON: "1"
  ORGANIZATION: "2"
  LOCATION: "3"
  DATE: "4"

tooltips:
  PERSON: "Names of people, characters, or personas"
  ORGANIZATION: "Companies, agencies, institutions"
  LOCATION: "Physical locations, addresses, geographic regions"

- annotation_type: span
  name: entities
  labels:
    - PERSON
    - ROLE
  allow_overlapping: true

- annotation_type: span
  name: entities
  labels:
    - PERSON
    - ORGANIZATION
  allow_overlapping: false  # Default behavior

- annotation_type: span
  name: entities
  selection_mode: word
  labels:
    - ENTITY

- annotation_type: span
  name: entities
  selection_mode: character
  labels:
    - ENTITY

{
  "id": "doc1",
  "text": "John Smith works at Microsoft in Seattle.",
  "spans": [
    {"start": 0, "end": 10, "label": "PERSON"},
    {"start": 20, "end": 29, "label": "ORGANIZATION"},
    {"start": 33, "end": 40, "label": "LOCATION"}
  ]
}

- annotation_type: span
  name: entities
  load_pre_annotations: true
  pre_annotation_field: spans

- annotation_type: span
  name: ner
  description: "Label named entities"
  labels:
    - PER    # Person
    - ORG    # Organization
    - LOC    # Location
    - MISC   # Miscellaneous
  label_colors:
    PER: "#3b82f6"
    ORG: "#10b981"
    LOC: "#f59e0b"
    MISC: "#6b7280"
  keyboard_shortcuts:
    PER: "1"
    ORG: "2"
    LOC: "3"
    MISC: "4"

- annotation_type: span
  name: ner_extended
  labels:
    - PERSON
    - NORP        # Nationalities, religious/political groups
    - FAC         # Facilities
    - ORG
    - GPE         # Geopolitical entities
    - LOC
    - PRODUCT
    - EVENT
    - WORK_OF_ART
    - LAW
    - LANGUAGE
    - DATE
    - TIME
    - PERCENT
    - MONEY
    - QUANTITY
    - ORDINAL
    - CARDINAL

- annotation_type: span
  name: bio_ner
  labels:
    - GENE
    - PROTEIN
    - DISEASE
    - DRUG
    - SPECIES
  label_colors:
    GENE: "#22c55e"
    PROTEIN: "#3b82f6"
    DISEASE: "#ef4444"
    DRUG: "#f59e0b"
    SPECIES: "#8b5cf6"

- annotation_type: span
  name: social_ner
  labels:
    - PERSON
    - ORGANIZATION
    - LOCATION
    - PRODUCT
    - CREATIVE_WORK
    - GROUP

annotation_schemes:
  - annotation_type: span
    name: entities
    labels:
      - PERSON
      - ORGANIZATION
 
  - annotation_type: radio
    name: entity_type
    description: "What type of entity is this?"
    show_for_span: entities
    labels:
      - Named
      - Nominal
      - Pronominal

annotation_schemes:
  # Named entities
  - annotation_type: span
    name: entities
    description: "Label named entities"
    labels:
      - PERSON
      - ORGANIZATION
      - LOCATION
 
  # Sentiment expressions
  - annotation_type: span
    name: sentiment_spans
    description: "Highlight sentiment expressions"
    labels:
      - POSITIVE
      - NEGATIVE
    label_colors:
      POSITIVE: "#22c55e"
      NEGATIVE: "#ef4444"

annotation_schemes:
  - annotation_type: span
    name: source_entities
    description: "Label entities in the source text"
    target_field: "source_text"
    labels:
      - PERSON
      - ORGANIZATION
 
  - annotation_type: span
    name: summary_entities
    description: "Label entities in the summary"
    target_field: "summary"
    labels:
      - PERSON
      - ORGANIZATION

{
  "id": "doc1",
  "source_text": "John Smith works at Microsoft in Seattle.",
  "summary": "Smith is employed by Microsoft."
}

{
  "id": "doc1",
  "source_entities": {
    "source_text": [
      {"start": 0, "end": 10, "text": "John Smith", "label": "PERSON"},
      {"start": 20, "end": 29, "text": "Microsoft", "label": "ORGANIZATION"}
    ]
  },
  "summary_entities": {
    "summary": [
      {"start": 0, "end": 5, "text": "Smith", "label": "PERSON"},
      {"start": 22, "end": 31, "text": "Microsoft", "label": "ORGANIZATION"}
    ]
  }
}

- annotation_type: span
  name: entities
  show_label_in_span: true

- annotation_type: span
  name: entities
  display_style: underline

{
  "id": "doc1",
  "entities": [
    {
      "start": 0,
      "end": 10,
      "text": "John Smith",
      "label": "PERSON"
    },
    {
      "start": 20,
      "end": 29,
      "text": "Microsoft",
      "label": "ORGANIZATION"
    }
  ]
}

task_name: "Named Entity Recognition"
 
data_files:
  - path: data/documents.json
    text_field: text
 
annotation_schemes:
  - annotation_type: span
    name: entities
    description: "Highlight and label all named entities"
    labels:
      - PERSON
      - ORGANIZATION
      - LOCATION
      - DATE
      - MONEY
    label_colors:
      PERSON: "#3b82f6"
      ORGANIZATION: "#10b981"
      LOCATION: "#f59e0b"
      DATE: "#8b5cf6"
      MONEY: "#ec4899"
    keyboard_shortcuts:
      PERSON: "1"
      ORGANIZATION: "2"
      LOCATION: "3"
      DATE: "4"
      MONEY: "5"
    tooltips:
      PERSON: "Names of people"
      ORGANIZATION: "Companies, agencies, institutions"
      LOCATION: "Cities, countries, addresses"
      DATE: "Dates and time expressions"
      MONEY: "Monetary values"
    allow_overlapping: false
    selection_mode: word
 
  - annotation_type: radio
    name: difficulty
    description: "How difficult was this document to annotate?"
    labels:
      - Easy
      - Medium
      - Hard

- annotation_type: span
  name: entities
  labels:
    - PERSON
    - ORGANIZATION
  allow_discontinuous: true

- annotation_type: span
  name: entities
  labels:
    - PERSON
    - ORGANIZATION
    - LOCATION
  entity_linking:
    enabled: true
    knowledge_bases:
      - name: wikidata
        type: wikidata
        language: en