Datasets:
lexeme string | stem string | sense string | surface string | count int32 | share float32 | method string | source_corpus string | base_text string |
|---|---|---|---|---|---|---|---|---|
hbo:0001 | 1 | amaꞌ | 61 | 0.5865 | gloss | WLC | aaz_C01 | |
hbo:0001 | 1 | amaꞌ | 45 | 0.2586 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | in aamf ee | 22 | 0.2115 | gloss | WLC | aaz_C01 | |
hbo:0001 | 1 | in amaf | 21 | 0.2019 | gloss | WLC | aaz_C01 | |
hbo:0001 | 1 | in amaf | 15 | 0.0862 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | in aamf ee | 14 | 0.0805 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | in | 13 | 0.0747 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | naiꞌ | 12 | 0.069 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | amaf | 8 | 0.046 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | amaꞌ in | 6 | 0.0345 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | aamf ee | 6 | 0.0345 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | hit amaꞌ | 5 | 0.0287 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | aamf | 4 | 0.023 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | neu | 4 | 0.023 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | au | 4 | 0.023 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | mfain | 4 | 0.023 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | aam | 3 | 0.0172 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | minaꞌ | 3 | 0.0172 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | beꞌi | 3 | 0.0172 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | in aamf | 2 | 0.0115 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | in amaf in | 2 | 0.0115 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | neu in amaf | 2 | 0.0115 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | amaꞌ naꞌbees neu | 2 | 0.0115 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | aamf ee in | 2 | 0.0115 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | aanh | 2 | 0.0115 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | beꞌi naꞌi | 2 | 0.0115 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | naꞌi | 2 | 1 | gapfill | WLC | aaz_C01 | |
hbo:0001 | 1 | kua | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | amaf neu | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | neu in amaf in | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | noik aamf ee | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | mtein | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | in aamf ee in | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | ho amaꞌ naꞌbees neu | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | unuꞌ | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | tetus | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | ꞌbaiseun | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0001 | 1 | muusn | 1 | 0.0057 | eflomal | WLC | aaz_C01 | |
hbo:0014 | qal | 1 | nroim | 2 | 1 | eflomal | WLC | aaz_C01 |
hbo:0014 | qal | 1 | nroim | 2 | 1 | gloss | WLC | aaz_C01 |
hbo:0028 | 1 | abida | 1 | 1 | gapfill | WLC | aaz_C01 | |
hbo:0039 | 1 | abimaer | 1 | 1 | eflomal | WLC | aaz_C01 | |
hbo:0039 | 1 | abimaer | 1 | 1 | gloss | WLC | aaz_C01 | |
hbo:0040 | 1 | abimerek | 9 | 0.5 | gloss | WLC | aaz_C01 | |
hbo:0040 | 1 | uisf | 8 | 0.4444 | gloss | WLC | aaz_C01 | |
hbo:0040 | 1 | uisf | 6 | 0.2727 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | usif abimerek | 5 | 0.2273 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | abimerek | 4 | 0.1818 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | usif | 1 | 0.0455 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | es | 1 | 0.0455 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | ꞌsaan | 1 | 0.0455 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | natraak | 1 | 0.0455 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | ahh | 1 | 0.0455 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | naiꞌ | 1 | 0.0455 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | abimerek namnaub | 1 | 0.0455 | eflomal | WLC | aaz_C01 | |
hbo:0040 | 1 | ahh | 1 | 0.0556 | gloss | WLC | aaz_C01 | |
hbo:0046 | 1 | ꞌnimam | 1 | 1 | eflomal | WLC | aaz_C01 | |
hbo:0046 | 1 | ꞌnimam | 1 | 1 | gloss | WLC | aaz_C01 | |
hbo:0057 | 2 | ꞌnikaꞌ | 1 | 1 | eflomal | WLC | aaz_C01 | |
hbo:0057 | 2 | ꞌnikaꞌ | 1 | 1 | gloss | WLC | aaz_C01 | |
hbo:0060 | 1 | nbeꞌen | 2 | 0.5 | gloss | WLC | aaz_C01 | |
hbo:0060 | 1 | beeꞌt | 1 | 0.25 | eflomal | WLC | aaz_C01 | |
hbo:0060 | 1 | nbeꞌen | 1 | 0.25 | eflomal | WLC | aaz_C01 | |
hbo:0060 | 1 | nbeꞌen amates | 1 | 0.25 | eflomal | WLC | aaz_C01 | |
hbo:0060 | 1 | nuuꞌ | 1 | 0.25 | eflomal | WLC | aaz_C01 | |
hbo:0060 | 1 | beeꞌt | 1 | 0.25 | gloss | WLC | aaz_C01 | |
hbo:0060 | 1 | nuuꞌ | 1 | 0.25 | gloss | WLC | aaz_C01 | |
hbo:0067 | 1 | abel misraim | 1 | 1 | eflomal | WLC | aaz_C01 | |
hbo:0067 | 1 | abel misraim | 1 | 1 | gloss | WLC | aaz_C01 | |
hbo:0068 | 1 | faut | 7 | 0.5833 | gloss | WLC | aaz_C01 | |
hbo:0068 | 1 | fatu | 6 | 0.4615 | eflomal | WLC | aaz_C01 | |
hbo:0068 | 1 | fatu | 5 | 0.4167 | gloss | WLC | aaz_C01 | |
hbo:0068 | 1 | faut | 3 | 0.2308 | eflomal | WLC | aaz_C01 | |
hbo:0068 | 1 | faut kouꞌ goes antoeb | 1 | 0.0769 | eflomal | WLC | aaz_C01 | |
hbo:0068 | 1 | ntoeb | 1 | 0.0769 | eflomal | WLC | aaz_C01 | |
hbo:0068 | 1 | faut tobef | 1 | 0.0769 | eflomal | WLC | aaz_C01 | |
hbo:0068 | 1 | faut kouꞌ goes | 1 | 0.0769 | eflomal | WLC | aaz_C01 | |
hbo:0068 | 1 | maꞌtaniꞌ etun | 1 | 1 | gapfill | WLC | aaz_C01 | |
hbo:0085 | 1 | abraham | 93 | 1 | gloss | WLC | aaz_C01 | |
hbo:0085 | 1 | naiꞌ abraham | 64 | 0.6275 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | abraham | 15 | 0.1471 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | naꞌi naiꞌ abraham | 5 | 0.049 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | naiꞌ | 3 | 0.0294 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | ismaꞌel | 3 | 0.0294 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | uteef | 3 | 0.0294 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | naiꞌ abraham nsiriꞌ | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | saraꞌ | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | efron | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | ain | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | naꞌi kaꞌo abraham | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | kaꞌo naiꞌ abraham naꞌi | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | naiꞌ kaꞌo abraham | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | kaꞌo abraham | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 1 | naiꞌ kaꞌo abraham naꞌi | 1 | 0.0098 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 2 | abraham | 2 | 1 | eflomal | WLC | aaz_C01 | |
hbo:0085 | 2 | abraham | 2 | 1 | gloss | WLC | aaz_C01 | |
hbo:0087 | 1 | abram | 43 | 0.8958 | gloss | WLC | aaz_C01 | |
hbo:0087 | 1 | naiꞌ abram | 26 | 0.5098 | eflomal | WLC | aaz_C01 | |
hbo:0087 | 1 | abram | 13 | 0.2549 | eflomal | WLC | aaz_C01 | |
hbo:0087 | 1 | sarai | 5 | 0.1042 | gloss | WLC | aaz_C01 |
senses_attested-bhsa — attested target renderings per lexeme sense (retired legacy set)
Renamed 2026-10-04: this repository was
bcv-commons/senses-attested; it is nowbcv-commons/senses-attested-bhsaso the name says what it is. The namesenses-attestednow belongs to the UBS-keyed dataset.
Superseded, and relabelled (2026-10-03). The
sensenumber in this dataset is the sense number from a lexeme-sense clustering that is built on ETCBC BHSA clauses (BHSA is CC BY-NC-SA 4.0). This dataset is therefore now labelled CC BY-NC-SA 4.0 (non-commercial, share-alike); up to this date it carried a CC BY 4.0 label, and copies obtained earlier keep the label they came with. For an open licence and a sense key you can trust, usebcv-commons/senses-attested(CC BY-SA 4.0, keyed on UBS Dictionary of Biblical Hebrew sense ids, no BHSA-derived content). This dataset receives no further updates.
Note (2026-09-30). The
sensenumber in this dataset comes from our own automatic disambiguation and is1for about 97% of tokens; checked against the manually built UBS Dictionary of Biblical Hebrew it agrees no better than chance when it says "same sense" (though where it does split, the split is informative). For a sense key you can trust, use the datasetbcv-commons/senses-attested(CC BY-SA 4.0), keyed on UBS sense ids. This dataset is kept unchanged for existing consumers.
Many Hebrew words carry more than one distinguishable meaning depending on their grammatical form —
for example, a verb's meaning can shift with its binyan (the Hebrew verb-stem pattern: qal
"simple/active" vs. hiphil "causative," etc.). This dataset records, for each Hebrew lexeme
(a MACULA-anchored original-language word — see bcv-commons/lexeme-alignments's own README for the
full definition) in a specific disambiguated (binyan, sense), which target-language translation
words actually render that sense in practice, with counts — empirical evidence mined directly from
the alignment data, not a hand-curated gloss list.
(Internal note for readers tracking the sibling shoresh/bcv-query projects — separate repos,
not part of this codebase: this dataset is the evidence layer that fills shoresh's own
senses_i18n/_gaps demand and cross-checks its llm_strongs_glosses predictions. It does not
replace shoresh's own curated senses_i18n/<iso>.tsv.) Consumed as an HF Parquet dataset.
Schema (per row)
| column | meaning |
|---|---|
lexeme |
MACULA lexeme (the anchor), e.g. hbo:0006 |
stem |
MACULA binyan (qal/piel/hiphil/…); empty for non-verbs |
sense |
sense number (ordinal) — see licensing |
surface |
attested target rendering (lowercased) |
count |
times this (lexeme, stem, sense) → surface was aligned |
share |
count / Σ count for that (lexeme, stem, sense) within one base_text |
method |
alignment method (eflomal) |
source_corpus |
the original Hebrew corpus (e.g. WLC) |
base_text |
the target edition attested (e.g. ind_C01) — the per-row provenance dimension |
Key: (lexeme, stem, sense) — MACULA lexeme (anchor; BHSA lex dropped) + MACULA binyan + sense
number, read inline from the enriched lexeme-spine.db. OT/Hebrew only (senses are Hebrew; Greek tokens
carry none).
Multi-version: base_text is per-row, so several translations of a language are pooled into one
iso=<lang> partition — a union of per-edition runs, each row tagged by edition; share stays
per-edition. Cross-edition agreement (how many base_texts attest a given (lexeme,stem,sense)→ surface) is the confidence signal, derivable directly from the rows. (Swedish iso=swe pools
swe_fol Folkbibeln + swe_svk Kärnbibeln.)
Removal / takedown policy
Each row is a per-edition attestation carrying its base_text, so a rights-holder can request
removal and it is a clean row-drop + republish (the dataset is content-addressed via each
partition's content_sha256). Because most (lexeme,stem,sense)→surface facts are attested by
more than one edition, dropping one edition typically leaves the linguistic fact intact via the
others — properly attributed. Rows are never re-emitted with provenance stripped: a removed
attestation is removed, not anonymized.
Removals are driven by a committed, auditable config: data/senses_exclude.json (read
automatically on every build). A row is dropped if it matches any rule; a rule matches when all its
stated fields equal the row's — fields lexeme, stem, sense, surface, base_text, omit to wildcard:
{"exclude": [
{"base_text": "swe_fol"}, // drop a whole edition
{"base_text": "swe_fol", "surface": "herren"} // drop one surface within an edition
]}
After exclusion, survivor shares renormalise (per edition), so a removed row leaves no residue;
the manifest records excluded: {rules, rows_dropped} for the audit trail. To action a takedown: add
a rule, re-run senses_attested for the affected language, republish.
Licensing — CC BY-NC-SA 4.0 (since 2026-10-03; earlier CC BY 4.0)
The lexeme + binyan key is MACULA-derived (CC BY 4.0, attribute Clear-Bible MACULA), but the sense number comes from a clustering built on
ETCBC BHSA clauses, so the dataset as a whole follows BHSA's CC BY-NC-SA 4.0: attribute both, non-commercial use only, share alike.
We carry the sense number only and no English sense label (shoresh's sense labels are UBS-MARBLE "used with permission", not
redistributable). The open-licence replacement is bcv-commons/senses-attested (UBS sense ids, CC BY-SA 4.0). Regenerate (legacy scheme):
python -m lexeme_aligner.senses_attested --iso <iso> --method eflomal.
Same git-ignored-Parquet + committed-manifest.json layout as lexeme-alignments.
- Downloads last month
- 444