Datasetpublic

SahmBenchmark/Sentiment_Analysis_MCQ_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… See the full description on the dataset page: https://huggingface.co/datasets/SahmBenchmark/Sentiment_Analysis_MCQ_train.

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face

0likes24downloads

Dataset Card

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"
}