Warmth and Competence (Sentence-Level Social Perception)

# Warmth and Competence — Sentence-Level Social Perception
# Based on the W&C-Sent dataset:
#   Ayesh, Mohammad, and Ousidhoum (2026), "Annotating Dimensions of Social
#   Perception in Text: A Sentence-Level Dataset of Warmth and Competence."
#   ACL 2026 (Volume 1: Long Papers), pp. 6374-6412.
#   Paper: https://aclanthology.org/2026.acl-long.289/
#   Data:  https://github.com/nedjmaou/W_C_Sent
#
# Warmth and competence are the two fundamental dimensions along which people
# evaluate individuals and social groups. Each item pairs a sentence with a
# target entity; annotators rate the sentence, with respect to that target, on
# three independent 7-point (-3 to +3) dimensions:
#   - Trust        (a component of warmth)
#   - Sociability  (a component of warmth)
#   - Competence
# In the original study each sentence-target pair was rated by 4-7 annotators,
# with each dimension presented independently to reduce cognitive load.

annotation_task_name: "Warmth and Competence - Social Perception"
task_dir: "."

data_files:
  - sample-data.json

item_properties:
  id_key: "id"
  text_key: "text"

output_annotation_dir: "annotation_output/"
output_annotation_format: "json"

port: 8000
server_name: localhost

annotation_schemes:
  - annotation_type: likert
    name: trust
    description: "TRUST (a component of warmth): how much does the sentence express trust vs. distrust toward the target?"
    min_value: -3
    max_value: 3
    labels:
      -3: "-3 high distrust"
      -2: "-2 moderate distrust"
      -1: "-1 slight distrust"
      0: "0 neutral / not applicable / not expressed"
      1: "+1 slight trust"
      2: "+2 moderate trust"
      3: "+3 high trust"

  - annotation_type: likert
    name: sociability
    description: "SOCIABILITY (a component of warmth): how much does the sentence express sociability vs. unsociability toward the target?"
    min_value: -3
    max_value: 3
    labels:
      -3: "-3 high unsociability"
      -2: "-2 moderate unsociability"
      -1: "-1 slight unsociability"
      0: "0 neutral / not applicable / not expressed"
      1: "+1 slight sociability"
      2: "+2 moderate sociability"
      3: "+3 high sociability"

  - annotation_type: likert
    name: competence
    description: "COMPETENCE: how much does the sentence express competence vs. incompetence toward the target?"
    min_value: -3
    max_value: 3
    labels:
      -3: "-3 high incompetence"
      -2: "-2 moderate incompetence"
      -1: "-1 slight incompetence"
      0: "0 neutral / not applicable / not expressed"
      1: "+1 slight competence"
      2: "+2 moderate competence"
      3: "+3 high competence"

annotation_instructions: |
  You are shown a social-media post together with a TARGET entity (an individual
  or a social group). Read the post and judge what it expresses about the target
  along three dimensions, each on a scale from -3 to +3:

    - Trust:        does it portray the target as trustworthy or untrustworthy?
    - Sociability:  does it portray the target as warm/friendly or cold/hostile?
    - Competence:   does it portray the target as capable or incapable?

  Rate each dimension independently. Use 0 when the dimension is neutral, not
  applicable, or not expressed. Judge only what the sentence conveys about the
  named target, not your own opinion of that target.

html_layout: |
  <div style="padding: 15px; max-width: 800px; margin: auto;">
    <div style="background: #eff6ff; border: 1px solid #bfdbfe; border-radius: 8px; padding: 8px 12px; margin-bottom: 10px;">
      <strong style="color: #1e40af;">Target:</strong> <span>{{target}}</span>
    </div>
    <div style="background: #f8fafc; border: 1px solid #e2e8f0; border-radius: 8px; padding: 16px;">
      <strong style="color: #334155;">Post:</strong>
      <p style="font-size: 16px; line-height: 1.7; margin: 8px 0 0 0;">{{text}}</p>
    </div>
  </div>

allow_all_users: true
instances_per_annotator: 50
annotation_per_instance: 5
allow_skip: true