---
license: cc-by-4.0
---

# Nuclear Terminology Dataset

This repository contains a cleaned subset of the Korean nuclear terminology dataset, sourced from the Korea Public Data Portal. It was used as part of the training corpus for the **AtomicGPT** project, a domain-adapted large language model for nuclear engineering developed at the Korea Atomic Energy Research Institute (KAERI).

## Dataset Details

| | |
|---|---|
| **Language** | Korean / English |
| **Domain** | Nuclear Engineering |
| **Source** | Korea Public Data Portal (data.go.kr) |
| **Original Provider** | Korea Hydro & Nuclear Power (KHNP) |
| **Size** | 2,000 entries |
| **Format** | JSON |
| **License** | CC-BY 4.0 |

## Data Format

Each entry consists of a nuclear term and its definition, structured as a grammatically natural Korean sentence.

```json
{
  "text": "핵분열은 무거운 원자핵이 중성자를 흡수하여 두 개 이상의 가벼운 원자핵으로 분열되는 현상이다."
}
```

## Preprocessing

The original dataset was obtained from the Korea Public Data Portal and preprocessed as follows:
- Extracted term and definition fields from the original CSV file
- Filtered out entries with empty fields or insufficiently short definitions
- Retained only entries ending with a complete Korean sentence (e.g., "~이다.", "~된다.")
- Final cleaned subset of 1,000 entries selected for public release

## Source

- **Korea Public Data Portal:** [https://www.data.go.kr/data/15038485/fileData.do](https://www.data.go.kr/data/15038485/fileData.do)
- **Original Provider:** Korea Hydro & Nuclear Power Co., Ltd. (한국수력원자력)

## Related Resources

- **AtomicGPT Models:** [KAERI-MLP](https://huggingface.co/KAERI-MLP)
- **AtomicGPT Evaluation Datasets:** [KAERI-MLP/atomicgpt-eval-datasets](https://huggingface.co/datasets/KAERI-MLP/atomicgpt-eval-datasets)

## Citation

If you use this dataset in your research, please cite:

```bibtex
@article{atomicgpt2026,
  title={AtomicGPT: A Domain-Adapted Large Language Model for Secure On-Premise Applications in Nuclear Engineering},
  journal={Nuclear Engineering and Technology},
  year={2026}
}
```

## About

Developed by the MLP team at the Korea Atomic Energy Research Institute (KAERI).