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Amtsgraph dataset v1.0 (built 2026-06-11)

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+ *.jsonl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ language:
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+ - de
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+ pretty_name: "Amtsgraph — German public-authority competence graph"
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+ tags:
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+ - germany
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+ - legal
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+ - government
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+ - courts
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+ - public-administration
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+ - graph
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+ size_categories:
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+ - 100K<n<1M
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+ configs:
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+ - config_name: authorities
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+ data_files: authorities.jsonl
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+ - config_name: court_chains
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+ data_files: court_chains.jsonl
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+ - config_name: competences
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+ data_files: competences.jsonl
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+ - config_name: edges
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+ data_files: edges.jsonl
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+ - config_name: places_courts
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+ data_files: places_courts.jsonl
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+ - config_name: municipalities
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+ data_files: municipalities.jsonl
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+ - config_name: matters
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+ data_files: matters.jsonl
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+ - config_name: caveats
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+ data_files: caveats.jsonl
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+ ---
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+
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+ # Amtsgraph
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+
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+ **The open, validated graph of German public authorities — who is
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+ competent, where, and for what.**
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+
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+ Built 2026-06-11 from official registers (Orts- und Gerichtsverzeichnis,
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+ PVOG/FITKO, Bundesagentur für Arbeit, Destatis, BayernPortal, OpenPLZ,
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+ xRepository). Every build passes a validation gate (coverage, collision,
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+ contiguity, benchmark checks) before release; every record carries
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+ provenance (source, URL, fetch timestamp).
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+
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+ ## Files
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+
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+ | File | Rows | Content |
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+ |---|---|---|
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+ | `authorities.jsonl` | 19,745 | all authorities with contacts, provenance, external IDs |
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+ | `court_chains.jsonl` | 338,873 | instance chains per (plz, ortk, matter) |
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+ | `competences.jsonl` | 79,630 | kind × area assignments (rank 0 = apply here) |
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+ | `edges.jsonl` | 8,395 | parent / supervision / appeal / successor relations |
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+ | `places_courts.jsonl` | 14,057 | official court-resolution place register |
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+ | `municipalities.jsonl` | 10,950 | AGS/ARS spine with postal codes (M:N) |
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+ | `matters.jsonl` | 36 | legal-matter taxonomy (14 core + special) |
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+ | `caveats.jsonl` | 5,369 | warnings that must be surfaced with answers |
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+
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+ ## Resolution logic
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+
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+ 1. **Courts**: look up `places_courts` by postal code (+ locality when one
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+ code spans several court districts), then `court_chains` by
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+ `(plz, ortk, matter)` — rows ordered by `position` are the full
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+ instance chain (role `court`) plus prosecution offices (role
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+ `prosecution`). Join `authorities` for contacts and filing addresses.
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+ 2. **Agencies**: map the user's municipality to its `ags` via
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+ `municipalities`, then filter `competences` by `kind` and area
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+ (`gemeinde` = 8-digit AGS, `kreis` = 5-digit prefix, `land` = 2-digit).
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+ `rank 0` = the office to apply at; `rank 1` = supervisory body.
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+ 3. **Always join `caveats`** for the scope you resolved — they flag
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+ genuine ambiguities and register gaps. For legal use, an honest
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+ warning beats a confident wrong answer.
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+ 4. The organisational web (Bavaria): traverse `edges` with
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+ `relation='parent'` for department hierarchies, `'supervision'` for
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+ oversight, `'appeal'` for derived court appeal routes.
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+
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+ ## Important notes
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+
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+ - General information, **not legal advice**; statutory exceptions to
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+ competence rules exist that no dataset can capture.
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+ - Department-level depth covers Bavaria's 96 Kreisverwaltungsbehörden
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+ (pilot); other Länder resolve at authority level.
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+ - Underlying records originate from official public registers; their
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+ respective terms govern redistribution (see the source registry in the
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+ GitHub repository). The pipeline and schema are Apache-2.0; this dataset is CC BY-NC-SA 4.0.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{amtsgraph2026,
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+ title = {Amtsgraph: an open validated graph of German public
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+ authorities, court competences and organisational structure},
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+ author = {Glushkov, David and {SNTIQ}},
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+ year = {2026},
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+ url = {https://github.com/SNTIQ-Team/amtsgraph}
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+ }
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+ ```
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+
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+ Source code, pipeline and full documentation:
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+ **https://github.com/SNTIQ-Team/amtsgraph**
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