Axiom Codex

Axiom Codex turns public-source data into documented, schema-backed research datasets for employment, public health, places, and building permits. Maintained by Axiomancer Labs, the featured releases provide Parquet data, field definitions, source attribution, and machine-readable quality evidence. Read each dataset card for its exact scope, upstream terms, and limitations.

Full research releases

These larger source-record releases are distinct from the 25,000-row sample repositories below. Their exact upstream terms and any required attribution are repository-specific; this organization page does not assign a shared license or grant additional rights.

Public 25,000-row samples

These smaller, static samples make it possible to inspect the schemas and source-specific caveats before working with the larger releases. A sample is a separate artifact: its geography, dates, and source mix may differ from a larger release in the same family.

Quick start

Install the Hugging Face Datasets library, then load a sample by repository ID:

pip install datasets

from datasets import load_dataset

places = load_dataset(
    "AxiomCodex/axiom-poi-intelligence-sample-25k",
    split="train",
)
print(places[0])

The repository cards include dataset-specific schema tables, citations, source terms, and links to the release manifest and quality evidence where provided. See the POI sample card, WAC sample card, and permit sample card before using their fields.

Intended use and limits

• These are source-record datasets for research, exploration, and analysis of the observations described in each repository card. They are not supervised-learning benchmarks: this page reports no benchmark scores, ground-truth evaluation labels, or train/validation/test evaluation design.
• The featured repositories use a single Hugging Face train split as a transport/tooling convention, not an ML evaluation split. Their cards retain the Axiom Codex governed training-use boundary; a split name is not training permission.
• No organization-wide license applies. Read each repository's own license metadata and card, follow the upstream source terms and attribution notices that apply to its records, and do not transfer one dataset's rights to another. This README grants no additional training or commercial rights.
• These research repositories and samples are not commercial packages. Any separately offered package has its own scope and terms; a public sample is not a substitute for that package or its license.
• Source coverage, dates, missingness, bias, and record meaning differ by dataset. A normalized field or status value does not by itself make a source observation complete, current, independently verified, or suitable for a decision about a person or property.

Browse the interactive catalog and public sample viewer, public standards and crosswalks, or Axiom Codex website.

Questions and corrections

For questions, card corrections, or removal requests, open a discussion in the Axiom Codex README Space community or the relevant dataset's Community tab. Include the repository ID, revision, and affected field or record identifier; do not post personal information or credentials.

For business inquiries, use enterprise@axiomcodex.io, the contact published on the Axiom Codex website. Dataset questions and corrections belong in the Community discussions above.