license: apache-2.0
language:
- en
pretty_name: satcom_qa
tags:
- satellite
- communications
size_categories:
- n<1K
🛰️ SATCOM Question-Answer Dataset
Dataset Summary
SATCOM-QA is a human-generated evaluation dataset designed for testing LLM reasoning in Satellite Communications (SatCom). It contains around 1,000 open-ended questions, of which about 30% involve mathematical or quantitative SatCom reasoning (e.g., link budget calculations, path loss, beamforming, SNR, orbital geometry).
The dataset is designed for evaluation purpose.
Key Features
Human-written questions & answers
Open-ended free-form responses
Covers core SatCom/NTN domains, including:
- Link Budget
- Propagation & Path Loss
- Frequency bands
- Beamforming & antennas
- Multi-layer NTNs (satellites, HAPS, UAVs)
- 6G integration
- Localization with NTNs
30% math-focused problems
Includes reference links to the answers provided
No synthetic content, no model-generated text
Intended Use
Benchmarking LLMs on technical SatCom reasoning
Testing domain-specific expertise for
- NTN/6G research
- Satellite engineering
- Telecommunications academia/industry
Evaluating mathematical reasoning in real-world SatCom tasks
Data Structure
Fields
- question (string)
- answer (string, human-written)
- topic (string: e.g., Link Budget, Beamforming, NTNs, etc.)
- sources (list of URLs — academic references)
- math_required (bool)
Source Material
Questions are based on public academic literature, including (examples):
- Multi-layer NTN architectures (ResearchGate)
- Integrated 6G TN/NTN (ResearchGate)
- NTN localization (arXiv)
- Link budget fundamentals (open-access journals)
Example
from datasets import load_dataset
ds = load_dataset("esa-sceva/satcom-qa")
test_ds = ds["train"]
print(test_ds[0]["question"])
print(test_ds[0]["answer"])