| --- |
| 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 |
|
|
| ```json |
| { |
| "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" |
| } |
| ``` |
|
|
