EmoContext - Contextual Emotion Detection in Text

# EmoContext - Contextual Emotion Detection in Text
# Based on Chatterjee et al., SemEval 2019
# Paper: https://aclanthology.org/S19-2005/
# Dataset: https://www.humanizing-ai.com/emocontext.html
#
# This task asks annotators to classify the emotion expressed in the
# third turn of a 3-turn conversation. The conversational context
# (turns 1 and 2) provides important clues for interpretation.
#
# Emotion Labels:
# - Happy: The speaker expresses joy, excitement, or positive emotion
# - Sad: The speaker expresses sadness, disappointment, or grief
# - Angry: The speaker expresses anger, frustration, or irritation
# - Others: No clear emotion or a different emotion not covered above
#
# Annotation Guidelines:
# 1. Read all three turns to understand the conversational context
# 2. Focus on the emotion expressed in the third (final) turn
# 3. Consider how the preceding turns influence emotional interpretation
# 4. Select "Others" when the emotion is neutral or does not fit the three categories

annotation_task_name: "EmoContext - Contextual Emotion Detection"
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: radio
    name: emotion
    description: "What emotion is expressed in the third turn of the conversation?"
    labels:
      - "Happy"
      - "Sad"
      - "Angry"
      - "Others"
    keyboard_shortcuts:
      "Happy": "1"
      "Sad": "2"
      "Angry": "3"
      "Others": "4"
    tooltips:
      "Happy": "The speaker expresses joy, excitement, or positive emotion"
      "Sad": "The speaker expresses sadness, disappointment, or grief"
      "Angry": "The speaker expresses anger, frustration, or irritation"
      "Others": "No clear emotion or a different emotion not covered above"

annotation_instructions: |
  You will be shown a 3-turn conversation. Your task is to identify the emotion
  expressed in the third (final) turn, considering the full conversational context.
  Choose from: Happy, Sad, Angry, or Others (for neutral or other emotions).

html_layout: |
  <div style="padding: 15px; max-width: 800px; margin: auto;">
    <div style="background: #f8fafc; border: 1px solid #e2e8f0; border-radius: 8px; padding: 16px; margin-bottom: 12px;">
      <strong style="color: #64748b;">Turn 1:</strong>
      <p style="font-size: 15px; line-height: 1.6; margin: 6px 0 0 0;">{{turn_1}}</p>
    </div>
    <div style="background: #f8fafc; border: 1px solid #e2e8f0; border-radius: 8px; padding: 16px; margin-bottom: 12px;">
      <strong style="color: #64748b;">Turn 2:</strong>
      <p style="font-size: 15px; line-height: 1.6; margin: 6px 0 0 0;">{{turn_2}}</p>
    </div>
    <div style="background: #f0f9ff; border: 1px solid #bae6fd; border-radius: 8px; padding: 16px; margin-bottom: 16px;">
      <strong style="color: #0369a1;">Turn 3 (classify this):</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: 2
allow_skip: true
skip_reason_required: false