Determining Sentiment Intensity of English and Arabic Phrases

# Determining Sentiment Intensity of English and Arabic Phrases
# Based on Kiritchenko et al., SemEval 2016
# Paper: https://aclanthology.org/S16-1004/
# Dataset: http://saifmohammad.com/WebPages/BestWorst.html
#
# This task asks annotators to rate the sentiment intensity of a phrase
# or sentence on an 11-point scale from most negative to most positive.
#
# Sentiment Intensity Scale (Likert 0-10):
# 0 = Most Negative (extremely negative sentiment)
# 5 = Neutral (no sentiment)
# 10 = Most Positive (extremely positive sentiment)

annotation_task_name: "Sentiment Intensity Scoring"
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: sentiment_intensity
    description: "Rate the sentiment intensity of this text from most negative to most positive."
    min_label: "Most Negative"
    max_label: "Most Positive"
    size: 11

annotation_instructions: |
  You will be shown a phrase or sentence. Your task is to rate the sentiment intensity
  on an 11-point scale. Use the full range of the scale:
  - 0: Extremely negative
  - 5: Neutral (no positive or negative sentiment)
  - 10: Extremely positive
  Focus on the emotional valence and intensity of the text.

html_layout: |
  <div style="padding: 15px; max-width: 800px; margin: auto;">
    <div style="background: #f0f9ff; border: 1px solid #bae6fd; border-radius: 8px; padding: 16px; margin-bottom: 16px;">
      <strong style="color: #0369a1;">Text:</strong>
      <p style="font-size: 18px; line-height: 1.7; margin: 8px 0 0 0; text-align: center;">{{text}}</p>
    </div>
  </div>

allow_all_users: true
instances_per_annotator: 50
annotation_per_instance: 2
allow_skip: true
skip_reason_required: false