README.md

---
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"
}
```