FNFC: Functional & Non-Functional Requirements Classification Dataset
Link: Hugging Face – FNFC Dataset
Overview
The FNFC dataset is a labeled collection of 7,060 software requirement statements categorized into 14 requirement classes, designed for research and modeling in requirements classification. It was created by refining and re-labeling the Fault-prone SRS Dataset from Kaggle, ensuring high-quality annotations through expert review.
Data Collection & Labeling
The labeling process was carried out by five professionals with expertise in software project leadership, systems analysis, or software requirements engineering:
- 2 experts with over 10 years of experience
- 3 experts with 2–3 years of experience in requirements engineering
Each expert received:
- A questionnaire
- Relevant documentation
- Clear labeling criteria for identifying functional and non-functional requirements
Experts were given 20 days to complete labeling at their own pace. Each record was assigned to one of the following classes:
Classes
- F – Functional Requirements
- A – Availability
- AU – Autonomy
- FT – Fault Tolerance
- LF – Look and Feel
- LL – Legal & Licensing
- M – Maintainability
- O – Inter-Operability
- P – Portability
- PE – Performance
- R – Reliability
- SC – Scalability
- SE – Security
- US – Usability
Dataset Structure
| Field | Description |
|---|---|
id |
Unique record identifier |
requirement |
Requirement statement text |
label |
One of the 14 defined classes |
Purpose
The dataset provides a robust benchmark for:
- Machine learning models for requirements classification
- Natural language processing experiments in software engineering
- Studies comparing classification methods for functional vs. non-functional requirements
Access
The dataset is publicly available:
Hugging Face – FNFC Dataset
Citation
If you use this dataset in academic research, please cite:
@dataset{fnfc_dataset_2025,
title={FNFC: Functional & Non-Functional Requirements Classification Dataset},
author={Mashhad Azad University},
year={2025},
url={https://huggingface.co/datasets/Mashhad-Azad-University/FNFC-Functional_Non-Functional_Classification}
}
## Contact
Created by Mahdi Kabootari & Younes Abdeahad
📬 kabootarimahdi2@gmail.com
📬 abdeahad.y3@gmail.com
📬 e.kheirkhah@gmail.com