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matt793/Colorado-Revised-Statutes-CRS-2025

Colorado Revised Statutes (CRS) 2025 A structured, section-level dataset of the complete 2025 Colorado Revised Statutes (CRS), including the Colorado Constitution (Title 00) through Title 44. Each record corresponds to one statute section and is formatted for LLM training and legal NLP tasks. Dataset Details Dataset Description This dataset was built by scraping the official CRS HTML source files published by the Colorado Office of Legislative Legal… See the full description on the dataset page: https://huggingface.co/datasets/matt793/Colorado-Revised-Statutes-CRS-2025.

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Dataset Card

Colorado Revised Statutes (CRS) 2025

A structured, section-level dataset of the complete 2025 Colorado Revised Statutes (CRS), including the Colorado Constitution (Title 00) through Title 44. Each record corresponds to one statute section and is formatted for LLM training and legal NLP tasks.

Dataset Details

Dataset Description

This dataset was built by scraping the official CRS HTML source files published by the Colorado Office of Legislative Legal Services (OLLS) at olls.info. Each statute section is parsed into structured fields covering identifiers, full text, source notes, editor notes, and cross-references, plus a single concatenated text field suitable for language model pretraining or fine-tuning.

All content is official public domain government text under § 2-5-118, C.R.S. — copyright suspended March 4, 2016.

  • —Curated by: matt793
  • —Language(s): English
  • —License: Public domain — § 2-5-118 C.R.S., copyright suspended 2016-03-04
  • —Source: https://olls.info / https://content.leg.colorado.gov/agencies/office-legislative-legal-services/2025-crs-titles-download

Dataset Sources

  • —Repository: https://huggingface.co/datasets/matt793/Colorado-Revised-Statutes-CRS-2025
  • —Original Source: Colorado Office of Legislative Legal Services — https://olls.info

Uses

Direct Use

  • —LLM pretraining and fine-tuning on Colorado statutory law
  • —Legal question-answering and retrieval-augmented generation (RAG)
  • —Legal NLP benchmarking and research
  • —Statute summarization and classification

Out-of-Scope Use

This dataset should not be used as authoritative legal advice. Always consult an attorney or the official CRS for legal matters.

Dataset Structure

This dataset includes two files:

  • —`colorado_crs_2025.jsonl` — The primary dataset in standard JSONL format, suitable for most LLM frameworks.
  • —`colorado_crs_2025_fireworks.jsonl` — A reformatted version converted for the Fireworks AI fine-tuning platform.

Primary File Fields (colorado_crs_2025.jsonl)

Each record in the primary JSONL file contains the following fields:

FieldTypeDescription
idstringUnique identifier, e.g. CRS-2025-1-1-101
citationstringFormatted citation, e.g. § 1-1-101, C.R.S.
title_numberstringCRS title number (e.g. 01, 25.5)
title_namestringTitle name (e.g. Elections)
article_numberstringArticle number within the title
article_namestringArticle name
part_numberstringPart number within the article
part_namestringPart name
section_headingstringThe section's official heading
full_textstringFull statutory body text
source_notesstringLegislative history lines
editors_notesstringEditor's note paragraphs
cross_referencesstringCross-reference paragraphs
textstringConcatenated training text (heading + body + notes)
yearstringPublication year (2025)
source_urlstringURL of the source HTM file
jurisdictionstringAlways Colorado
licensestringPublic domain notice

Fireworks AI File (colorado_crs_2025_fireworks.jsonl)

The Fireworks AI file was generated using a separate conversion script to reformat the primary dataset into the message format required by the Fireworks AI fine-tuning API. Each record uses a messages structure with system, user, and assistant turns, where the statute text is presented as a legal reference lookup task.

Dataset Creation

Source Data

The data was scraped from the 2025 CRS title HTM files published at olls.info. Titles 00 (Colorado Constitution) through 44 are included, as well as fractional titles 25.5 and 26.5.

Data Collection and Processing

A Python scraper using requests and BeautifulSoup fetched each title page and applied a state-machine parser to extract article, part, and section boundaries from the HTML paragraph structure. Each section's body, source notes, editor notes, and cross-references were separated via regex pattern matching.

Annotations

No manual annotations were added. All structure (article/part/section hierarchy, source notes, editor's notes, cross-references) is derived directly from the official HTML formatting.

Bias, Risks, and Limitations

  • —Covers only the state of Colorado; does not include federal law or other state statutes.
  • —HTML parsing heuristics may occasionally mis-attribute continuation paragraphs.
  • —The dataset reflects the 2025 edition; it will not include subsequent legislative changes.
  • —Not a substitute for professional legal advice.

Citation

If you use this dataset, please cite:

@dataset{crs2025,
  title        = {Colorado Revised Statutes (CRS) 2025},
  author       = {matt793},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/matt793/Colorado-Revised-Statutes-CRS-2025},
  note         = {Public domain — § 2-5-118 C.R.S., copyright suspended 2016-03-04}
}

Dataset Card Contact

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