Dataset Viewer
Auto-converted to Parquet Duplicate
lexeme
string
strong
string
phrase
string
n_words
int32
source_corpus
string
base_text
string
count
int32
share
float32
contig
bool
grc:10
G0010
abiudu abiudu
2
macula-wlc+nestle1904
AAAMLT
2
1
true
grc:1003
G1003
iboazi iboazi
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1014
G1014
fia nhinhi
2
macula-wlc+nestle1904
AAAMLT
14
0.9333
true
grc:1014
G1014
mhi fia
2
macula-wlc+nestle1904
AAAMLT
1
0.0667
true
grc:1021
G1021
khè tuamha
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1024
G1024
khuẹẹ whahẹ
2
macula-wlc+nestle1904
AAAMLT
2
0.5
true
grc:1024
G1024
rehe whahẹ
2
macula-wlc+nestle1904
AAAMLT
1
0.25
true
grc:1024
G1024
khuẹẹ keenọ
2
macula-wlc+nestle1904
AAAMLT
1
0.25
true
grc:1027
G1027
soo ikpalhalha
2
macula-wlc+nestle1904
AAAMLT
2
1
true
grc:1033
G1033
ghoohi sì
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1039
G1039
ininẹ nhọse
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1050
G1050
igausi omhinhẹ
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1051
G1051
nwọ amẹ
2
macula-wlc+nestle1904
AAAMLT
2
1
true
grc:1055
G1055
riekẹ aikhaa
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1057
G1057
onye igalili
2
macula-wlc+nestle1904
AAAMLT
3
1
true
grc:1059
G1059
igamaliẹli ọnhọkhahẹ
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:106
G0106
khọ vbuma
2
macula-wlc+nestle1904
AAAMLT
11
1
true
grc:1060
G1060
da okposo
2
macula-wlc+nestle1904
AAAMLT
7
0.7
true
grc:1060
G1060
muẹẹse e
2
macula-wlc+nestle1904
AAAMLT
1
0.1
true
grc:1060
G1060
shẹshẹ da okposo
3
macula-wlc+nestle1904
AAAMLT
1
0.1
true
grc:1060
G1060
mueese e
2
macula-wlc+nestle1904
AAAMLT
1
0.1
true
grc:1061
G1061
ria mueese
2
macula-wlc+nestle1904
AAAMLT
3
1
true
grc:1062
G1062
nyai kueese
2
macula-wlc+nestle1904
AAAMLT
2
1
true
grc:1064
G1064
rọle zhamhẹ
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1067
G1067
ghera lẹ
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1072
G1072
ku vọhẹ
2
macula-wlc+nestle1904
AAAMLT
1
0.5
true
grc:1072
G1072
rẹ ikaikai
2
macula-wlc+nestle1904
AAAMLT
1
0.5
true
grc:1073
G1073
vọ na
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1078
G1078
ai bia
2
macula-wlc+nestle1904
AAAMLT
3
1
true
grc:1080
G1080
khinhi ira
2
macula-wlc+nestle1904
AAAMLT
9
0.75
true
grc:1080
G1080
bia ibia
2
macula-wlc+nestle1904
AAAMLT
2
0.1667
true
grc:1080
G1080
khinhi irẹ
2
macula-wlc+nestle1904
AAAMLT
1
0.0833
true
grc:1081
G1081
whawha ooku
2
macula-wlc+nestle1904
AAAMLT
2
1
true
grc:1084
G1084
usọmhi ekẹ
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1085
G1085
uyha sẹ
2
macula-wlc+nestle1904
AAAMLT
5
1
true
grc:1092
G1092
henha ogua
2
macula-wlc+nestle1904
AAAMLT
2
0.2857
true
grc:1092
G1092
ọ henha ogua
3
macula-wlc+nestle1904
AAAMLT
2
0.2857
true
grc:1092
G1092
ọ lati
2
macula-wlc+nestle1904
AAAMLT
1
0.1429
true
grc:1092
G1092
ogua ọ
2
macula-wlc+nestle1904
AAAMLT
1
0.1429
true
grc:1092
G1092
ọ henha
2
macula-wlc+nestle1904
AAAMLT
1
0.1429
true
grc:1093
G1093
agbọ nọ
2
macula-wlc+nestle1904
AAAMLT
66
0.5366
true
grc:1093
G1093
ekẹ nọ
2
macula-wlc+nestle1904
AAAMLT
42
0.3415
true
grc:1093
G1093
usọmhi ekẹ
2
macula-wlc+nestle1904
AAAMLT
5
0.0407
true
grc:1093
G1093
ekẹ gbei
2
macula-wlc+nestle1904
AAAMLT
2
0.0163
true
grc:1093
G1093
agbọ nọ gbei
3
macula-wlc+nestle1904
AAAMLT
2
0.0163
true
grc:1093
G1093
le wo
2
macula-wlc+nestle1904
AAAMLT
1
0.0081
true
grc:1093
G1093
usọmhi ekẹ nọ
3
macula-wlc+nestle1904
AAAMLT
1
0.0081
true
grc:1093
G1093
aye gbei
2
macula-wlc+nestle1904
AAAMLT
1
0.0081
true
grc:1093
G1093
ekẹ nọ gbei
3
macula-wlc+nestle1904
AAAMLT
1
0.0081
true
grc:1093
G1093
agbọ nọ kọ
3
macula-wlc+nestle1904
AAAMLT
1
0.0081
true
grc:1093
G1093
agbọ nọ le
3
macula-wlc+nestle1904
AAAMLT
1
0.0081
true
grc:1096
G1096
bẹẹ hi
2
macula-wlc+nestle1904
AAAMLT
2
0.0667
true
grc:1096
G1096
ai ọ
2
macula-wlc+nestle1904
AAAMLT
2
0.0667
true
grc:1096
G1096
khe hi
2
macula-wlc+nestle1904
AAAMLT
2
0.0667
true
grc:1096
G1096
mhẹnhẹ akudogbọkpa
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
khahẹ ọ
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
mhẹnhẹ ọ
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
re mhẹnhẹ
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
yi khinhi
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
bẹẹ ẹghẹghẹ
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
ọnọ khinhi ẹghẹghẹ
3
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
re ne
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
re ramhi
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
rekhe yi
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
re ọ
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
ọ mhẹnhẹ
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
nhi khinhi
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
re vare
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
khinhi iyhọ
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
khe khinha
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
khe ramhi
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
a i
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
de ne
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
mhẹ re
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
ọ i
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
kpe a yi
3
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
ọ i deba
3
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1096
G1096
gidi na
2
macula-wlc+nestle1904
AAAMLT
1
0.0333
true
grc:1097
G1097
nhẹhẹ oye
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:11
G0011
abrahamu abrahamu
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:110
G0110
khọ un
2
macula-wlc+nestle1904
AAAMLT
2
1
true
grc:1100
G1100
ẹẹo eihi
2
macula-wlc+nestle1904
AAAMLT
5
0.3125
true
grc:1100
G1100
ẹẹo ukuka
2
macula-wlc+nestle1904
AAAMLT
3
0.1875
true
grc:1100
G1100
ẹẹo ọihi
2
macula-wlc+nestle1904
AAAMLT
2
0.125
true
grc:1100
G1100
ẹẹo ukuka ọihi
3
macula-wlc+nestle1904
AAAMLT
1
0.0625
true
grc:1100
G1100
ghilhẹlhẹ eihi
2
macula-wlc+nestle1904
AAAMLT
1
0.0625
true
grc:1100
G1100
ghilhẹlhẹ rohi
2
macula-wlc+nestle1904
AAAMLT
1
0.0625
true
grc:1100
G1100
ukuka ghilhẹlhẹ ukuka
3
macula-wlc+nestle1904
AAAMLT
1
0.0625
true
grc:1100
G1100
ghilhẹlhẹ gbei
2
macula-wlc+nestle1904
AAAMLT
1
0.0625
true
grc:1100
G1100
ghilhẹlhẹ ukuka
2
macula-wlc+nestle1904
AAAMLT
1
0.0625
true
grc:1101
G1101
egho nwa nhia
3
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1103
G1103
vi ghobe ẹ
3
macula-wlc+nestle1904
AAAMLT
2
1
true
grc:1106
G1106
mhi fia
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1108
G1108
nhẹhẹ oye
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:111
G0111
balọ uulẹ
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1111
G1111
unyọ zẹ
2
macula-wlc+nestle1904
AAAMLT
2
0.6667
true
grc:1111
G1111
zẹ unyọ
2
macula-wlc+nestle1904
AAAMLT
1
0.3333
true
grc:1112
G1112
khè zunyọ
2
macula-wlc+nestle1904
AAAMLT
1
1
true
grc:1114
G1114
ọnhọbe e
2
macula-wlc+nestle1904
AAAMLT
2
1
true
grc:1119
G1119
swikpo ekẹ
2
macula-wlc+nestle1904
AAAMLT
1
1
true
End of preview. Expand in Data Studio

aligned_mwe — multi-word target expressions per lexeme

Where lexeme-alignments is one row per surface token, this is one row per lexeme rendered by a contiguous multi-word phrase (חֶסֶד → "kasih setia", בֵּית → "tempat pengirikan"). Mined from the aligner's per-verse t_idx positions: only spans whose target token positions are contiguous (max−min+1 == len) qualify — scattered tokens that merely all linked to a lexeme are dropped (and counted in the manifest as scattered_dropped, never silently). Rides on eflomal's grow-diag-final-and symmetrised alignment.

Schema (per row)

column meaning
lexeme MACULA lexeme anchor (hbo:2545 / grc:0026)
strong rollup Strong's (H2545 / G0026)
phrase the attested contiguous multi-word rendering (lowercased)
n_words tokens in the span
source_corpus which original-language text the span was aligned against (WLC, Nestle1904, ...)
base_text the target edition this phrase was attested in (added 2026-09-30)
count times this (lexeme → phrase) span was aligned in that edition
share count / Σ count for that lexeme within the same base_text
contig always true (contiguity is the inclusion criterion)

Every edition of a language is pooled into the one iso=<lang> partition — there is no primary edition. A phrase found in several editions appears once per edition, so a (lexeme, phrase) pair is not unique across rows: group by (lexeme, phrase) and sum count for a language-level frequency, or filter on base_text for one edition. share is a per-edition probability, so it does not sum to 1 across editions. The manifest lists each language's base_texts, rows per edition (by_base_text) and a per-edition sources licence pointer. Every partition now has base_text and covers every edition of its language; copies downloaded before October 2026 had no base_text column and covered only the first edition.

Licensing — CC0-1.0

Phrases + counts + public identifiers (Strong's / MACULA lexeme), no MACULA analytical columns — same basis as lexeme-alignments. Each language's source translation keeps its own terms; see the per-language source pointer in manifest.json.

Regenerate: python -m lexeme_aligner.export_mwe --iso <first-tag> --pool <other-tags> --method all (the chain does this). Bulk Parquet is git-ignored and published out-of-band; only manifest.json (per-language metadata + content_sha256) and this card are committed.

Verse mapping

Hebrew and English Bibles number some Old Testament verses differently (Psalm superscriptions, 1 Chronicles 6, Joel, Malachi, Daniel 4 and 6, ...). Source and target verses are paired with the verse-mapping tables of TVTMS (Translators Versification Traditions with Methodology for Standardisation), part of STEPBible Data by Tyndale House, Cambridge — CC BY 4.0, https://github.com/STEPBible/STEPBible-Data — with each edition's numbering detected from its own text (cross-checked against bcv-commons/bibles). Source verse references follow the Hebrew (WLC) numbering of the MACULA source text.

Downloads last month
306