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Datasets:
SahmBenchmark
/
Sentiment_Analysis_MCQ_train

Tasks:
Multiple Choice
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
< 1K
Tags:
sentiment-analysis
mcq
financial
arabic
training
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
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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"
}
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