dacheah/space-law-corpus
Space Law Corpus A neutral, provenance-first, machine-readable record of international and national space law. Every record carries its official source, retrieval date, citation, language, an authoritative-status flag, and a SHA-256 content hash; texts are verified against official sources. Source of truth / build history: https://github.com/dacheah/space-law-corpus Archived & citable: concept DOI 10.5281/zenodo.21185483 (resolves to the latest Zenodo-archived GitHub release)… See the full description on the dataset page: https://huggingface.co/datasets/dacheah/space-law-corpus.
Space Law Corpus
A neutral, provenance-first, machine-readable record of international and national space law. Every record carries its official source, retrieval date, citation, language, an authoritative-status flag, and a SHA-256 content hash; texts are verified against official sources.
- Source of truth / build history: https://github.com/dacheah/space-law-corpus
- Archived & citable: concept DOI 10.5281/zenodo.21185483 (resolves to the latest Zenodo-archived GitHub release)
- Human-browsable site: https://dacheah.github.io/space-law-corpus/
- 24 instruments (24 verified against official sources) · 317 provisions · 457 neutral concept tags
Why this dataset is different
Most legal datasets are scraped text with no sourcing. Here every row is traceable: the authoritative text is stored in its authentic language with a content hash and a fidelity flag, and anything generated (concept tags, structure) is kept in a separate, clearly-labelled layer. That makes it low-risk input for retrieval-augmented generation and citation-grounded legal NLP.
Configs
`documents` — one row per instrument version: the full authoritative text plus provenance (source_url, official_citation, authoritative_status, text_fidelity, content_hash, license, rights_note, provenance_note, dates, jurisdiction, language).
`provisions` — one row per structural unit (article / section / principle / guideline): the unit text, its neutral concepts (a model pass, unreviewed), and a link back to the source instrument's text hash and URL. Ideal as pre-chunked, concept-labelled context for RAG.
from datasets import load_dataset
docs = load_dataset("dacheah/space-law-corpus", "documents")
prov = load_dataset("dacheah/space-law-corpus", "provisions")Contents
Licensing
Mixed, and recorded per record. The compilation, structure, and concept tags (the derived layer) are CC BY 4.0. Source texts are not relicensed — each keeps its own terms (e.g. UN-materials terms; public-domain government works), recorded in every row's license / rights_note. See the licensing policy.
Disclaimer
This is a reference record, not legal advice. The authoritative text of each instrument is the original in its authentic language; translations and concept tags are unofficial and derived (the concept tags are an unreviewed model pass — expect occasional over/under-tagging). Always confirm against the cited official source for anything legally operative.
Citation
Space Law Corpus (Daniel Cheah). https://github.com/dacheah/space-law-corpusDataset generated from the repository by `scripts/exporthfdataset.py` on 2026-07-25 — do not edit by hand.
