Azzindani/US_Regulation_ECFR_20260101
US Regulation eCFR 2026-01-01 Dataset This repository contains a structured, machine-readable version of the Electronic Code of Federal Regulations (eCFR), captured as of January 1, 2026. Unlike the annual CFR snapshots, this dataset reflects the editorialized, near real-time version of federal regulations. Dataset Description The eCFR is a daily updated editorial compilation of CFR material and Federal Register amendments. This dataset captures a specific… See the full description on the dataset page: https://huggingface.co/datasets/Azzindani/US_Regulation_ECFR_20260101.
US Regulation eCFR 2026-01-01 Dataset
This repository contains a structured, machine-readable version of the Electronic Code of Federal Regulations (eCFR), captured as of January 1, 2026. Unlike the annual CFR snapshots, this dataset reflects the editorialized, near real-time version of federal regulations.
Dataset Description
The eCFR is a daily updated editorial compilation of CFR material and Federal Register amendments. This dataset captures a specific point-in-time snapshot of that fluid regulatory environment, structured for high-performance AI applications, semantic search, and legal analytics.
- Source: GovInfo Bulk Data (eCFR)
- Snapshot Date: 2026-01-01
- Format: [Specify format, e.g., JSONL, Parquet, or CSV]
- Focus: Current administrative law across all 50 Titles.
Data Acquisition & Integrity
This dataset was compiled using legitimate developer-sanctioned methods. Data was retrieved via official U.S. Government Publishing Office (GPO) bulk data endpoints and the eCFR API.
By utilizing official developer channels rather than traditional bot-based web scraping, the dataset ensures:
- Structural Consistency: Preserves the complex hierarchy of Titles, Subtitles, Chapters, Parts, and Sections.
- Metadata Enrichment: Includes versioning information and effective dates as provided by the GPO.
- Clean Ingestion: Optimized for RAG (Retrieval-Augmented Generation) by removing noise and maintaining the integrity of legal citations.
Potential Use Cases
- RAG & Agentic Workflows: Providing LLMs with the most "current" version of federal regulations for accurate grounding.
- Regulatory Intelligence: Analyzing the evolution of specific agency rules over time.
- Compliance Automation: Mapping internal corporate policies to the latest eCFR requirements.
- Cross-Title Linking: Discovering semantic relationships between different regulatory domains.
Structure
The dataset follows the official eCFR hierarchy:
- Title: Broad subject area (e.g., Title 21 for Food and Drugs).
- Chapter: Specific regulatory agency.
- Part/Section: The granular text of the law.
- Last Modified: Timestamp indicating the last editorial update to that section.
License
This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0).
Attribution
If you utilize this dataset, please provide attribution to:
- Original Source: The U.S. Government Publishing Office (GPO) GovInfo Bulk Data.
- Dataset Curator: Azzindani (via Hugging Face Datasets).
Government Works Public Domain Notice
The underlying regulatory text is a work of the U.S. Government and is not subject to copyright protection within the United States. This license applies to the specific curation, structuring, and formatting provided in this repository.
Disclaimer
This dataset is intended for research and development purposes. It is not an official legal record. For official legal purposes, always consult the eCFR at GovInfo.gov.
