--- license: cc-by-4.0 task_categories: - text-generation - question-answering language: - en tags: - legal - ecfr - regulation - rag - government --- # 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)](https://www.govinfo.gov/bulkdata/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: 1. **Structural Consistency:** Preserves the complex hierarchy of Titles, Subtitles, Chapters, Parts, and Sections. 2. **Metadata Enrichment:** Includes versioning information and effective dates as provided by the GPO. 3. **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: 1. **Original Source:** The U.S. Government Publishing Office (GPO) [GovInfo Bulk Data](https://www.govinfo.gov/bulkdata/CFR). 2. **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.* ---