README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - satellite
  - communictions
pretty_name: satcom-mcqa
size_categories:
  - n<1K

🛰️ Satcom Multiple Choice Question-Answer Dataset

Dataset Summary

SATCOM-MCQA is a human-generated multiple-choice evaluation dataset for Satellite Communications (SatCom).

• Around 1,000 questions with 3-4–5 answer options each
• Questions cover technical SatCom topics (e.g., link budget, BER, antenna gain, propagation)
• ~30% math-focused questions requiring quantitative reasoning
• Designed for evaluation

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Key Features

• Human-written multiple-choice questions

• Covers core SatCom/NTN domains:

  • Link Budget
  • Bit Error Rate (BER)
  • Antenna & Beamforming
  • Propagation & Frequency bands
  • Multi-layer NTNs (satellites, HAPS, UAVs)
  • 6G integration

• Includes reference links where relevant

• No synthetic content or model-generated text

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Intended Use

• Benchmarking LLMs or classifiers on technical SatCom MCQ reasoning
• Evaluating knowledge in satellite engineering, NTN design, and 6G research
• Testing quantitative reasoning in engineering tasks

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Data Structure

Fields

• question (string) — the question text
• options (list of strings) — multiple-choice options
• answer (string) — the correct option (e.g., "Option 2")
• topic (string) — the domain/topic of the question
• mathematical_reasoning_required (bool) — if numeric/math reasoning is needed
• raw_latex (string or null) — optional LaTeX formulas

Example

{
  "question": "Antenna gain increases when the effective area of the antenna is:",
  "options": ["Decreased", "Increased", "Constant", "None of these"],
  "answer": "Option 2",
  "topic": "Link Budget",
  "mathematical_reasoning_required": false,
  "raw_latex": null
}

---

Source Material

Questions were crafted using academic and technical literature on SatCom:

• Link budget fundamentals
• Bit error rate calculations
• Antenna design and beamforming papers
• Publicly available academic reports

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Example Usage in Python

from datasets import load_dataset
ds = load_dataset("esa-sceva/satcom-mcqa")
test_ds = ds["train"]
sample = test_ds[0]
print("Question:", sample["question"])
print("Options:", sample["options"])
print("Answer:", sample["answer"])