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endomorphosis/ipfs_azerbaijan_laws
ipfs_azerbaijan_laws is a machine learning model from endomorphosis. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Research snapshot of official legislation collected from e-qanun.az downloadDetailPdf.
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Updated Sep 4, 2026
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From the Hugging Face model README
Research snapshot of official legislation collected from e-qanun.az downloadDetailPdf.
Not legal advice. Official gazettes / government portals prevail over this corpus.
| Field | Value |
|---|---|
| Snapshot date | 2026-09-04 |
| Coverage | catalog-backed incomplete |
| Source | e-qanun.az downloadDetailPdf |
| Collector | scrapers/collect_az.py |
| Laws / instruments | 685 |
| Articles | 1126 |
| Language | az |
| Jurisdiction | Azerbaijan |
| License | az-eqanun |
data/laws.parquet — one row per instrument (id, title, full text, dates, status, identifiers, article count, source URL).data/articles.parquet — one row per article/section (law_id, article number, title, text, source URL).scrapers/collect_az.py — research collector used to build this snapshot.scrapers/common.py — shared collector helpers.scrapers/world_lib.py — shared fetch (live official URL, Wayback fallback).scrapers/archive_fallbacks.py — Wayback / Common Crawl CDX helpers.Official government / gazette texts; reuse per public-sector terms of the source portal. This packaging, metadata, and collector script are provided for research.
This dataset is not an official consolidation and is not legal advice. The official source prevails.
Official e-qanun.az PDF downloads (live/Wayback + ID probe). SPA HTML skipped. Not legal advice.