Datasets:

justicedao
/

ipfs_bulgaria_laws_ir

External: Generic Unexpected error: Unexpected (temporary) at read, context: { url: https://huggingface.co/datasets/justicedao/ipfs_bulgaria_laws_ir/resolve/refs%2Fconvert%2Fparquet/bm25_documents/train/0000.parquet, called: reqwest::fetch, service: hf, path: bm25_documents/train/0000.parquet, range: 373336-488843, read: 13869 } => read data from http response, source: error decoding response body

Error code:   UnexpectedError

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Bulgaria legislation IR (CID-keyed sparse GraphRAG)

Research retrieval release of endomorphosis/ipfs_bulgaria_laws (revision e3680c7c32f9882895b7d2a61e55c3c908359983) packaged as country-laws-ir-graphrag/v1 (layout family skillcenter-huggingface-release/v3 / publicus-ir).

Not legal advice. This is a research snapshot. The official gazette / authentic source of Bulgaria prevails over this corpus. Retrieved documents and graph edges are retrieval evidence only. No legal text was invented.

Primary key: entry_cid (CIDv1 raw sha2-256 of a canonical identity record). Integer document_index values are compact shard pointers, not identities.

Target Hub id (packaging metadata only): justicedao/ipfs_bulgaria_laws_ir.

Counts

Field	Value
Laws (corpus units)	0
Articles (corpus units)	15573
Canonical docs	15573
BM25 terms	9726
BM25 postings	199743
Graph nodes	18646
Graph edges	148091
Vectors	15573 × 384-d `thenlper/gte-small` (embedded)

Canonical fields

entry_cid, law_cid, record_type, jurisdiction, language, instrument_id, instrument_title, article_number, article_title, title, body, source_url, snapshot_date, coverage, license, collector, source_dataset, source_revision.

Unit policy: prefer article/section rows; fall back to law-level when articles.parquet is empty.

Index layout

Zstandard parquet shards with at most 4,096 rows.

indexes/bm25_keyword_shards.parquet — lexical term ranges → BM25 posting shards
indexes/vector_chunks.parquet — semantic routing centroids (rows sorted by cosine to shard centroid)
indexes/corpus_chunks.parquet — document ranges → corpus shards
data/graph/nodes / data/graph/edges — property graph
data/graph/adjacency/{incoming,outgoing} — score-ordered neighbor pages

BM25: Okapi k1=1.2, b=0.75, title_weight=5, body_weight=1 (FTS5 unicode61-style tokenizer).

Graph: one node per entry_cid plus facet nodes (_facet_cid(kind, value) for jurisdiction, language, instrument, source, status). Neighbor edges BM25_NEIGHBOR_OF (k=8) carry score and matched terms. Structural edges: ARTICLE_OF (article → parent law) when articles exist, plus IDENTIFIED_BY_ELI / IDENTIFIED_BY only when those identifiers are present in the source.

Query

python scripts/query_country_laws_hf.py --local-dir . bm25 "constitution" --top-k 10
python scripts/query_country_laws_hf.py --local-dir . vector "money laundering" --top-k 10
python scripts/query_country_laws_hf.py --local-dir . graph neighbors <entry_cid>

Publish later (operator)

export HF_TOKEN=...   # never commit
hf upload-large-folder justicedao/ipfs_bulgaria_laws_ir . \
  --repo-type dataset --no-private --num-workers 8 \
  --exclude "**/__pycache__/**" --exclude "**/*.pyc"

Provenance

Packaged by country-laws-ir. Upstream collector and official license remain those of endomorphosis/ipfs_bulgaria_laws. CIDs identify local content; they do not prove public IPFS pinning.

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