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eurlex-core

reference corpus · status live · domain LAW (Law and regulation) · lane A · refresh pinned · tags EU · LAW · PRIVACY · STANDARDS

What an agent uses it for

GDPR / AI Act / DSA / DMA / NIS2 article and recital text

Use it
curl -fsSLO https://raw.githubusercontent.com/xerj-org/xerj/corpus-hub/tools/xerj-code/hub/eurlex-core.json
xerj corpus add --from ./eurlex-core.json
xerj corpus index eurlex-core then xerj code eurlex-core "your question"

Needs the xerj CLI and a local node running; the copy prompt covers both, checks each step, and shows how to stop only the node you started. No shell: the MCP tool xerj_code_search with corpus: "eurlex-core", once the corpus is indexed on the node.

Sources and pins

sourcepinlicencesizereview note
corpus-eurlex-core f407c9381a68NONE-FOUND 1.9 MB / 1,170 files GDPR, AI Act, DSA, DMA, NIS2 from the EUR-Lex Cellar CONVEX lane (direct eur-lex.europa.eu fetches are AWS-WAF-challenged): 1,167 per-article and per-recital files (405 articles + 762 recitals); annexes deliberately excluded and documented. G7 4/5 pass 4/5 relevant. Evidence: backlog/g7-night2-2026-10-04-graded.json

1.9 MB across 1,170 files. Added 2026-10-04.

People behind this corpus

Upstream authors (1)

Owners of the pinned repositories, credited under each repository's licence. They have not signed up here; their pages are attribution.

All contributors.

Rights

NONE-FOUND. Redistribution permitted with attribution per the licence review. The review block records a human opening each licence file at the pin. Detector output is a hint, never the verdict.

Retrieval spot-check (G7)

4.0/5 relevant. Graded .

Q: gdpr principles for processing personal data lawfulness fairness transparency
expect: gdpr/art-5.txt
top-5: corpus-eurlex-core/gdpr/recital-39.txt / corpus-eurlex-core/gdpr/recital-60.txt / corpus-eurlex-core/ai-act/recital-94.txt / corpus-eurlex-core/gdpr/art-5.txt / corpus-eurlex-core/gdpr/recital-4.txt
grade: pass
Q: is pseudonymised data personal data under the gdpr
expect: gdpr/recital-26.txt
top-5: corpus-eurlex-core/gdpr/recital-29.txt / corpus-eurlex-core/gdpr/recital-28.txt / corpus-eurlex-core/gdpr/recital-85.txt / corpus-eurlex-core/gdpr/recital-26.txt / corpus-eurlex-core/gdpr/recital-75.txt
grade: pass
Q: which ai practices are prohibited subliminal manipulation
expect: ai-act/art-5.txt
top-5: corpus-eurlex-core/ai-act/recital-29.txt / corpus-eurlex-core/ai-act/art-5.txt / corpus-eurlex-core/ai-act/recital-28.txt / corpus-eurlex-core/ai-act/art-50.txt / corpus-eurlex-core/ai-act/recital-31.txt
grade: pass
Q: dma gatekeeper combining personal data across services for advertising
expect: dma/art-5.txt
top-5: corpus-eurlex-core/dma/recital-36.txt / corpus-eurlex-core/dma/art-5.txt / corpus-eurlex-core/dma/recital-58.txt / corpus-eurlex-core/dma/recital-47.txt / corpus-eurlex-core/dma/recital-45.txt
grade: pass
Q: nis2 what security measures must entities take
expect: nis2/art-21.txt
top-5: corpus-eurlex-core/nis2/recital-78.txt / corpus-eurlex-core/nis2/recital-88.txt / corpus-eurlex-core/nis2/recital-85.txt / corpus-eurlex-core/nis2/recital-103.txt / corpus-eurlex-core/nis2/recital-97.txt
grade: miss

Agent score

From structured reviews that AI agents send after they use this corpus: through xerj hub pull, MCP queries, or the xerj_corpus_feedback tool. Each review rates usefulness 1–5, whether the answer was found, and freshness. This is not the human hub star count shown above. The two are never mixed.

Loading agent reviews…

Score = Bayesian mean of usefulness (prior 3.0 with weight 5), so a few reviews cannot swing it. One voice per installation per corpus per week; abnormal-volume reviewers are dropped. Coverage gaps appear only once 3 or more agents report the same one. How it works.

Traffic

Traffic stats load from /api/hub-traffic when this page runs JavaScript.

Views: visits to this page (search-engine crawlers excluded). Unique: distinct visitors per day, by a hash salted with the day, so the 14-day unique figure adds up daily uniques. Pulls: growth of the GitHub release download count of this corpus’s pack (xerj hub pull downloads from there; includes our own pack-verification downloads). Searches: hosted-hub queries for this corpus. Referring sites appear after 3 views. What is collected.

Agent usage

Usage stats load from /api/hub-usage when this page runs JavaScript.

Counted: requests agents send to the hosted hub API (hub.xerj.org/api/v1/code, /def) for this corpus. Queries on your own node (xerj code, xerj ask with a local pack, the MCP tools) never leave your machine and are not counted. Templates replace identifiers, versions, paths, numbers and quoted text with placeholders; one is shown only once it has been seen 3 times in 30 days, and any word asked fewer than 3 times shows as <term>. Raw queries are never published. What is collected.