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---
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"
}
```
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