README.md

---
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

---

## 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

---

## 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


---

## 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

```json
{
  "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

---

## Example Usage in Python

```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"])
```