README.md

metadata

language:
  - ar
license: apache-2.0
task_categories:
  - multiple-choice
  - text-classification
pretty_name: Sentiment Analysis MCQ Training Dataset
tags:
  - sentiment-analysis
  - mcq
  - financial
  - arabic
  - training
dataset_info:
  features:
    - name: id
      dtype: string
    - name: query
      dtype: string
    - name: answer
      dtype: string
    - name: text
      dtype: string
    - name: choices
      sequence: string
    - name: gold
      dtype: int64
    - name: category
      dtype: string
    - name: original_sentiment
      dtype: string
    - name: conversations
      list:
        - name: content
          dtype: string
        - name: role
          dtype: string
  splits:
    - name: train
      num_bytes: 1044556
      num_examples: 120
  download_size: 471504
  dataset_size: 1044556
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Sentiment Analysis MCQ Training Dataset

Training dataset for financial sentiment analysis in MCQ format.

Dataset Structure

• Format: Multiple choice questions
• Language: Arabic
• Domain: Financial reports and market news
• Task: Sentiment classification (positive/negative/neutral)

Fields

• id: Unique identifier
• query: Full MCQ prompt with instructions
• answer: Correct answer letter (a, b, c)
• text: Question text without instructions
• choices: List of answer options
• gold: Zero-based index of correct answer
• category: Report category
• original_sentiment: Original sentiment label

Example

{
  "id": "sentiment_mcq_00001",
  "query": "اقرأ بعناية التقرير المالي التالي...",
  "answer": "c",
  "text": "التقرير: [financial report]...",
  "choices": ["a", "b", "c"],
  "gold": 2,
  "category": "general",
  "original_sentiment": "neutral"
}