sssdddwd/finetune_dataset.jsonl

Fine-Tune Dataset Card

Dataset Overview

This dataset is designed for fine-tuning Mistral-7B-Instruct-v0.1 using QLoRA. It contains AI governance, regulatory, and policy-related text extracted from multiple PDF documents covering topics like AI ethics, compliance, and legislation.

Dataset Details

• —Dataset Name: AI Governance & Compliance Dataset
• —Format: JSONL (JSON Lines)
• —Number of Entries: Variable (Based on document extraction)
• —Source: Extracted from official AI governance PDFs
• —Language: English
• —Topics Covered:
• —AI Risk Management
• —AI Compliance Frameworks
• —Data Protection Regulations (e.g., GDPR, AI Act)
• —AI Ethics and Bias

How to Use

Load the Dataset in Python

from datasets import load_dataset

# Load dataset
dataset_path = "./finetune_dataset.jsonl"
dataset = load_dataset("json", data_files=dataset_path)

# View sample
print(dataset["train"][0])

Structure of Each Entry

Each entry in the dataset follows this format:

{
  "document": "AI_RMF_Playbook.pdf",
  "content": "This document describes AI risk management..."
}

Applications

• —Fine-tuning AI models for regulatory compliance assistance
• —Training AI governance chatbots
• —Developing AI policy research tools

Dataset Limitations

• —Static Knowledge: The dataset is based on a snapshot of AI policy documents and does not update dynamically.
• —Not Legally Binding: The dataset provides regulatory insights but should not replace legal consultation.
• —Potential Bias: The dataset is sourced from publicly available regulatory documents and may not represent all perspectives.

Future Improvements

• —Expanding dataset coverage to more global AI regulations
• —Continuous updates with real-time policy changes
• —Adding expert-annotated summaries for better contextual understanding

Citation

If you use this dataset, please cite:

@misc{ai_governance_dataset,
  author = {Your Name},
  title = {AI Governance & Compliance Dataset},
  year = {2024},
  howpublished = {https://huggingface.co/datasets/finetune_dataset.jsonl}
}

Contact

For questions or contributions, connect via GitHub or Hugging Face.