File size: 4,544 Bytes
0fb65a5 c09cb54 0fb65a5 c09cb54 0fb65a5 c09cb54 c0d6173 c09cb54 0fb65a5 c0d6173 c09cb54 0fb65a5 c0d6173 0fb65a5 c0d6173 0fb65a5 c0d6173 0fb65a5 c0d6173 86bb247 c0d6173 86bb247 c0d6173 86bb247 c0d6173 86bb247 c0d6173 86bb247 c0d6173 86bb247 c0d6173 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 |
---
language:
- en
license: apache-2.0
tags:
- nist-csf
- grc
- cybersecurity
- compliance
- policy
- qna
task_categories:
- text-generation
pretty_name: GRC NIST CSF 2.0 QA Dataset (v1)
configs:
- config_name: alpaca
data_files: nist_csf2_qa_alpaca.jsonl
- config_name: chatml
data_files: nist_csf2_qa_chat.jsonl
---
# Dataset Card for GRC NIST CSF 2.0 QA Dataset (v1)
This dataset contains **question–answer and dialogue pairs** based on the **NIST Cybersecurity Framework (CSF) 2.0**.
It is intended for training large language models to provide **Governance, Risk, and Compliance (GRC)** guidance.
---
## Dataset Details
### Dataset Description
- **Curated by:** Independent GRCora Project (educational initiative)
- **Funded by [optional]:** None
- **Shared by [optional]:** zeezhu (Hugging Face username)
- **Language(s) (NLP):** English
- **License:** Apache-2.0 (permissive, allows reuse with attribution)
### Dataset Sources
- **Repository:** https://huggingface.co/datasets/zeezhu/grc-nist-csf2-qa-v1
- **Paper [optional]:** NIST CSF 2.0 (official source: https://www.nist.gov/cyberframework)
- **Demo [optional]:** None yet
---
## Uses
### Direct Use
- Fine-tuning instruction-following models (e.g., LLaMA, Mistral, Qwen).
- Training chat assistants for cybersecurity and compliance.
- Educational tools for NGOs, SMEs, and consultants who need simplified NIST CSF guidance.
### Out-of-Scope Use
- **Not** a replacement for legal, regulatory, or compliance advice.
- **Not** suitable as the only source for enterprise risk assessments.
- Should not be used for critical decision-making without human review.
---
## Dataset Structure
- **alpaca.jsonl**: Instruction–input–output triples.
- Fields:
- `instruction` (string)
- `input` (string, optional)
- `output` (string)
- **chatml.jsonl**: Chat-formatted dialogues.
- Fields:
- `messages`: list of objects with `role` (`system`, `user`, `assistant`) and `content` (string).
- **Splits**: Current version contains a single combined dataset (~3,300 records). Users may create `train/validation/test` splits using random sampling or Unsloth utilities.
---
## Dataset Creation
### Curation Rationale
Created to provide **structured Q&A data** around the NIST CSF 2.0 framework, enabling AI models to learn compliance concepts in an approachable format.
### Source Data
#### Data Collection and Processing
- Extracted from NIST CSF 2.0 JSON exports.
- Reformatted into Alpaca and ChatML formats for model fine-tuning.
- Quality checks: ensured valid JSONL (UTF-8), removed empty or duplicate entries.
#### Who are the source data producers?
- Primary source: NIST (official CSF 2.0 framework text).
- Reformatted and curated by the GRCora Project team.
### Annotations
- No manual human annotations; transformation was automated.
#### Personal and Sensitive Information
- Dataset **does not contain personal, sensitive, or private data**.
- Content is limited to framework descriptions and compliance Q&A.
---
## Bias, Risks, and Limitations
- **Bias**: Only covers NIST CSF 2.0; does not reflect other frameworks equally (e.g., ISO 27001, SOC 2).
- **Risk**: Users may mistake generated answers as authoritative compliance advice.
- **Limitations**: Simplified responses may not capture full legal/regulatory complexity.
### Recommendations
- Use as **training/evaluation data**, not as a compliance checklist.
- Pair with domain expert review for production use.
---
## Citation
**BibTeX:**
```bibtex
@misc{grc_nist_csf2_qa,
title = {GRC NIST CSF 2.0 QA Dataset (v1)},
author = {A.O.A},
year = {2025},
howpublished = {Hugging Face Datasets},
url = {https://huggingface.co/datasets/zeezhu/grc-nist-csf2-qa-v1}
}
APA:
A.O.A. (2025). GRC NIST CSF 2.0 QA Dataset (v1) [Dataset]. Hugging Face. https://huggingface.co/datasets/zeezhu/grc-nist-csf2-qa-v1
Glossary
NIST CSF 2.0: National Institute of Standards and Technology Cybersecurity Framework, version 2.0.
GRC: Governance, Risk, and Compliance.
Alpaca format: Instruction–input–output JSONL structure used in fine-tuning.
ChatML: Chat-format schema for conversational AI training.
More Information
NIST CSF 2.0 official page: https://www.nist.gov/cyberframework
Dataset curated as part of GRCora (AI-driven GRC SaaS project).
Dataset Card Authors
A.O.A (curator, dataset creator)
Dataset Card Contact
Hugging Face: https://huggingface.co/zeezhu |