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\u00a0

pronominal and adnominal identical:

\u00a0

a[b]n\u0259\u0300y

w\u0259y / w\u0259br\u0259\u0300y

proximal

distal (invisible)

\u00a0

\u00a0

","

m\u00e1\u014ba~m\u00e1\u014ba

\"finger/toe\"

","

ARM: pak\u00e1n

\"el brazo ... la ala ... la pluma grande de las alas\"

HAND: mac\u00e1n

\"la mano ... la manga de una camisa\"

","

du

2nd sg. fam.

- used to address friends, relatives, children, and betweenmembers of the same professional group without previousacquaintance

ni

2nd pl. hon.

- 2nd person pl familiar/ polite pronoun

ni

2nd sg. hon.

- if ni is not considered polite enough, it should bereplaced by the title or profession of the person beingaddressed

ni

2nd pl. fam.

","

\u00f2, l\u00e8, l\u00e0, \u00ec, \u014b, m\u00e0

\u20183rd pronouns\u2019 showing noun class distinctions

h\u00f3\u00f2, l\u00ea\u014b, l\u00e2\u014b, etc.

\u2018proximate dem.\u2019

k\u00f3N, l\u00e9N, l\u00e2N, etc.

\u2018remote dem.\u2019

","

a.\u00a0

Declarative\u00a0

b.\u00a0

Prohibitive\u00a0

\u00a0

m \u2026 m\u00a0

\u00a0

ta \u2026 m\u00a0

\u00a0

m\u00a0

\u00a0

\u00a0

\u00a0

la\u00a0

\u00a0

\u00a0

\u00a0

\u0101p\u00a0

\u00a0

ta \u2026 \u0101p\u00a0
","

ma\u0374a+pukpe

\"finger\" [pukpe \"child\"]

","

m\u00e2=h\u01d4\u0341-na\u030c

\"finger\"

","

h=

2nd sg. hon.

- 2nd plural actor clitic is used as honorific form of

address if the addressee is older than the speaker;

- plural is also indicator of respect when adressing/ referringto an individual of greater age than speaker

meu

2nd sg. hon.

- 2nd plural pronoun is used as honorific form of address if theaddressee is older than the speaker

- free pronouns are used in all syntactic functions, a

set of clitic pronouns is used for actor cross referencing;

- plural is also indicator of respect when adressing/

referring to an individual of greater age than speaker

","

\u00a0

pronominal and adnominal differentiated:

\u00a0

ma\u030cn

m\u00e0n\u0254\u0301g\u0254\u0300

m\u00e0n(\u026a\u0300)c\u025b\u0301

-\u026a\u0301

-\u0254\u0301g\u0254\u0300

-\u026a\u0300c\u025b\u0301

near H

near H

away from S+H

\u00a0

\u00a0

","

ARM: nim

\"hand, arm\"

n\u00e1man

\"his hand, arm\"

HAND: nim

\"hand, arm\"

n\u00e1man

\"his hand, arm\"

","

cha\u014b\u0259ll

\"dedo\"

","

cane cou\u00e2

\"dedo das maos\"

","

tu\u0304ji

\"finger in general\"

","

tsay

","

ARM: 'ugan

\"arm\"

HAND: 'ula

\"a paw ... a hand\"

","
instrumental and comitative marker:
gant
","
instrumental and comitative marker:
nd\u0259
","

ataayi

","

na

2nd sg. hon.

- these plural pronouns are not used for normal

conversational politeness (e.g. with a stranger of more-

or-less equal status) in the way that French vous or

German Sie are; here the singular forms are always

found;

- it seems that the chief of the village is the

lowest social rank for which the plurals are used.

","

1sg

n\u012b

1pl

m\u016b

2sg.m

kai

2pl

k\u016b

2sg.f

k\u0113

\u00a0

\u00a0

3sg.m

sh\u012b

3pl

s\u016b

3sg.f

ita

\u00a0

\u00a0
","

u-wa (M), o-wa (F)

\u20183rd pronouns\u2019

i-ye (M), o-ye (F)

\u2019proximate\u2019

u-kira (M), o-kira (F)

\u2019distal\u2019

","
instrumental and comitative marker:
-\u0294\u0259
","

ARM: rik\u00e1

\"arm\"

HAND: \u00e3bo\u0303

\"hand\"

","

tja

","

\u010daj

","

nekm

\u20183rd pronoun\u2019

u\u2019t

\u2018near 1\u2019

ula

\u2018near 2\u2019

ala

\u2018distant\u2019

","

\u0268\u0303 (M), \u00f5 (F)

\u20193rd pronouns\u2019

j\u0251\u0303\u0129) (M), iko (F)

\u2018proximal\u2019

\u00e3j\u0268\u0303) (M), \u00e3j\u00f5 (F)

\u2018distal\u2019

","

ARM: taky\u00e1g

\"arm, sleeve\"

br\u00e1so

\"arm\" [Spanish loan]

HAND: kam\u00f3t

\"hand\"

","

ARM: puth

\"arm\"

HAND: yor

\"hand; forefoot of four-legged animals\"

mala

\"hand\"

wangal (respect)

\"hand, finger\"

","

ARM: pobaco

\"brazo ... mano\"

HAND: pobaco

\"brazo ... mano\"

Nobaco

\"mano\"

","

imajpil

\"su dedo (de la mano)\"

","

\u00a0

pronominal and adnominal identical:

\u00a0

hierdie

daardie

proximal

distal

\u00a0

\u00a0

","

tuntuu

\"finger\"

","

\u014bosx

\u2018tail'

","

\u00a0

pronominal and adnominal differentiated:

\u00a0

i\u02d0+INFL

a\u02d0+INFL

i\u02d0

a\u02d0

proximal

distal

\u00a0

\u00a0

","

pi

\u20183rd pronoun\u2019

\u0294e

\u2018proximate\u2019

pi

\u2018distal\u2019

\u0294uk

\u2018yonder\u2019

","

pol-q\u00a0

\u00a0

\u00a0

\u00a0

\u00a0

nod\u00a0

INDEX-2\u00a0

IN\u00a0

SCHOOL\u00a0

DEAF\u00a0

YES-NO\u00a0

\u2018Do you go to a deaf school?\u2019

","

\u00a0

pronominal and adnominal differentiated:

\u00a0

ik\u0254

uk\u0254

i

u

proximal

distal

\u00a0

\u00a0

","

\u00a0

\u00a0

1sg\u00a0

2sg\u00a0

Independent forms:\u00a0

Nominative\u00a0

i \u00f1 che

ey m i

\u00a0

Possessive\u00a0

\u00f1 i

m i

Verbal suffixes:\u00a0

Indicative\u00a0

-(\u00fc) n

- m -i

\u00a0

Conditional\u00a0

-i-\u00d8\u00a0

-m-i\u00a0
","

t\u00e8h

","

\u00a0

pronominal and adnominal identical:

\u00a0

njanja

pala

mawu

proximal

medial

distal

\u00a0

\u00a0

","

ho=w (M), ho=j (F), ho=b (N)

\u20183rd pronoun\u2019, also anaphoric demonstrative

ha-

\u2018near 1\u2019

hu-

\u2018near 2\u2019

hada

\u2018remote from 1\u2019

hudo

\u2018remote from 2\u2019, followed by gender markers

","

Wirico (M), wiricam (F), je (N)

\u20183rd pronouns\u2019

cwa\u2019 (MF), ca\u2019 (N)

\u2018near 1\u2019

ma\u2019

\u2018near 2\u2019

cwain (MF), cain (N)

\u2018distal\u2019

","

po

\"digitus\"

","

\u00a0

pronominal and adnominal identical:

\u00a0

nyunga

nyara

(pala)

proximal

distal

(topic shift)

\u00a0

\u00a0

","

\u00a0

pronominal and adnominal identical:

\u00a0

ini

itu

proximal

distal

\u00a0

\u00a0

","

\u00a0

pronominal and adnominal differentiated:

\u00a0

ki+INFL

tu+INFL

qa+INFL

ki

tu

qa

near S

near H

away from S+H

\u00a0

\u00a0

","

k\u00e9uih

\u20183rd pronoun\u2019

n\u012b

\u2018this\u2019

g\u00f3

\u2018that\u2019

","

ia

\u20193rd pronoun\u2019

ana

\u2018near 1\u2019

atu

\u2018near 2\u2019

iso

\u2018yonder\u2019

"],"top_values":[["

\u010daj

",25],["

te

",16],["

tee

",7],["

ti

",7],["

t\u00e8

",5],["

t\u00e8h

",4],["

teh

",4],["

\u00e7ay

",3],["

tsa

",3],["

\u010dej

",3],["
instrumental and comitative marker:
med
",3],["

tea

",3],["

tii

",3],["

t\u00e9

",3],["

[the word for arm/hand does not also denote finger]

",3],["

\u0161aj

",3],["

[the terms for arm and hand do not also denote finger]

",3],["

\u00a0

pronominal and adnominal identical:

\u00a0

a[b]n\u0259\u0300y

w\u0259y / w\u0259br\u0259\u0300y

proximal

distal (invisible)

\u00a0

\u00a0

",2],["

\u00a0

pronominal and adnominal identical:

\u00a0

nha-

ka-

wa-

proximal

medial

distal

\u00a0

\u00a0

",2],["

\u00a0

pronominal and adnominal identical:

\u00a0

nyoe

nyan

je\u0302h

proximal

medial

distal

\u00a0

\u00a0

",2]],"top_words":[["\u00a0

arm:",591],["",549],["",489],["class=\"example\">pronominal",388],["adnominal",388],["class=\"p1\">\u00a0

\u00a0

",301],["class=\"p1\">proximal

distal

",211],["

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rows are a single word"},{"code":"duplicates","level":"warn","message":"57.2% duplicate strings"}],"column":"Source","extras":{"language_counts":{},"language_sample_size":5000,"length_histogram":{"counts":[3154,11217,18520,14181,7564,4653,3099,1849,1332,1123,620,570,357,308,166,168,141,40,81,42,35,38,18,24,34,21,5,4,9,0,1,2,1,3,0,0,0,1,1,1],"edges":[7.0,10.95,14.9,18.85,22.8,26.75,30.700000000000003,34.650000000000006,38.6,42.550000000000004,46.5,50.45,54.400000000000006,58.35,62.300000000000004,66.25,70.2,74.15,78.10000000000001,82.05,86.0,89.95,93.9,97.85000000000001,101.80000000000001,105.75,109.7,113.65,117.60000000000001,121.55000000000001,125.5,129.45,133.4,137.35,141.3,145.25,149.20000000000002,153.15,157.1,161.05,165.0]},"near_unique":false,"sample":["Najlis-1966","Bivon-1971[42]","Bergman-et-al-1969","Schachter-and-Otanes-1972[123, 131];Aldridge-2004[200]","Schiffman-1983[113-116];Bright-1958[24];Sridhar-1990[227-228]","Foley-1991[101-103]","Sohn-1994[243]","Barnes-1994[330]","Rastorgueva-1963[passim]","Derbyshire-and-Payne-1990[260]","Frajzyngier-1993[353]","Caitucoli-1986[48]","Innes-1966","Hewitt-1979[166]","Adwiraah-1989[90]","Dahlstrom-1991;Vinay-1992","Dahl-1984[95-6]","Mosel-and-Spriggs-1992[8, 58-66]","Johnson-2000[262, 279, 289]","Hurel-1959[74-75, 83]","Ibelgaufts-and-Ibelgaufts-1999","Henderson-1994","Dunn-1999[passim 161ff]","Boyeldieu-2000[passim]","Egli-1990[276]","Javarek-and-Sudjic-1972[passim];Partridge-1964[passim]","Tischhauser-1992[24]","Pride-1965[passim]","Feldman-1986","Martens-and-Tuominen-1977","Panfilov-1962","Harris-1990[140]","Radhakrishnan-1970[passim]","Herbert-and-Poppe-1963;Junusaliev-1966","Beuchat-and-Rivet-1909[822]","Davies-1981b[182]","Hercus-1969b[74];Hercus-1986b[52]","Cloarec-Heiss-1986[passim]","Cowell-1951[8];Groves-et-al-1985[80-81]","Bauer-1981","Carlson-1994","Lorimer-1958[196, 208]","McGregor-1990","Ladefoged-et-al-1977;Phillips-1976","Ross-and-Paol-1978[67-8]","Krueger-1962[428]","Sneddon-1996a[341];Danusugondo-1975[passim 121ff]","Hebert-and-Poppe-1963[9]","Laycock-and-Zgraggen-1975[756]","Monod-Becquelin-1975[179, 199, 211];Guirardello-1999a[233]"],"top_values":[["Bybee-et-al-1994",108],["Huber-and-Reed-1992",80],["Tucker-and-Bryan-1966",78],["Tucker-and-Bryan-1966[passim]",57],["Roberts-1987",55],["Dol-1999",55],["Seiler-1985",53],["Evans-1995",52],["Reh-1985",52],["Terrill-1999",52],["Nichols-1994b",50],["Dench-1995",50],["Bruce-1984",49],["McGregor-1990",49],["Carlson-1994",49],["Popjes-and-Popjes-1986",48],["Murane-1974",48],["Bright-1957",48],["Smeets-1989",47],["Gordon-1986",47]],"top_words":[["passim]",386],["quoting",42],["evans-1995",24],["huber-and-reed-1992",24],["everett-1986",22],["mcgregor-1990",22],["roberts-1987",21],["seiler-1985",21],["bybee-et-al-1994",20],["112]",20],["carlson-1994",20],["68]",19],["dench-1995",19],["dol-1999",19],["tucker-and-bryan-1966[passim]",19],["269]",18],["94]",17],["tucker-and-bryan-1966",17],["59]",16],["rood-1976",16],["stilo-2005[passim]",16],["owens-1985",16],["nichols-1994b",16],["terrill-1999",15],["capell-and-hinch-1970",15]],"vocab_skipped":null,"word_histogram":{"counts":[57712,8569,0,2108,0,544,0,295,81,0,25,0,18,0,16,1,0,9,0,1,0,0,1,0,2,0,0,0,0,1],"edges":[1.0,1.5666666666666667,2.1333333333333333,2.7,3.2666666666666666,3.833333333333333,4.4,4.966666666666667,5.533333333333333,6.1,6.666666666666666,7.233333333333333,7.8,8.366666666666667,8.933333333333334,9.5,10.066666666666666,10.633333333333333,11.2,11.766666666666666,12.333333333333332,12.9,13.466666666666667,14.033333333333333,14.6,15.166666666666666,15.733333333333333,16.299999999999997,16.866666666666667,17.433333333333334,18.0]}},"kind":"text","n":76475,"n_null":7092,"n_unique":29715,"null_rate":0.09273618829682903,"stats":{"allcaps_rate":5.765100961330585e-05,"boilerplate_rate":0.0,"duplicate_rate":0.5717250623351542,"emoji_rate":0.0,"len_max":165,"len_mean":21.858510009656545,"len_median":19.0,"len_min":7,"len_p95":44.0,"n_duplicates":39668,"n_empty":0,"one_word_rate":0.8317887667007768,"readability_flesch_mean":-9.643749999999969,"url_rate":0.0,"vocab_size":13953,"word_mean":1.2388769583327328,"word_median":1.0}},{"alerts":[{"code":"one_word","level":"warn","message":"39.1% 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igt-2230","igt-3386 igt-3387","igt-2446","igt-2966 igt-2967 igt-2968 igt-2969","igt-2247","igt-818","igt-3253 igt-3254 igt-3255 igt-3256 igt-3257","igt-2815","igt-557","igt-3204 igt-3205 igt-3206 igt-3207","igt-345 igt-346","igt-2948 igt-2949","igt-800 igt-801 igt-802 igt-803","igt-1607 igt-1608 igt-1609 igt-1610","igt-2255 igt-2256","igt-3193 igt-3194 igt-3195 igt-3196","igt-348","igt-2315 igt-2316","igt-1072 igt-1073 igt-1074 igt-1075","igt-1675 igt-1676","igt-760 igt-761 igt-762 igt-763","igt-2959 igt-2960 igt-3840 igt-3841","igt-135 igt-136 igt-137 igt-138 igt-139","igt-2483 igt-2484 igt-2485","igt-352 igt-353 igt-354 igt-355 igt-356 igt-357 igt-358 igt-359 igt-360 igt-361 igt-362 igt-363","igt-3378 igt-3379","igt-1939","igt-1713","igt-2975","igt-799","igt-3187 igt-3188 igt-3189 igt-3190 igt-3191"],"top_values":[["igt-1139 igt-1140 igt-1141 igt-1142",2],["igt-3853 igt-3854 igt-3855 igt-3856",2],["igt-1607 igt-1608 igt-1609 igt-1610",2],["igt-552 igt-553",2],["igt-1498 igt-1499 igt-1500 igt-1501 igt-1502",2],["igt-1731 igt-1732 igt-1733 igt-1734",2],["igt-1000 igt-1001 igt-997 igt-998 igt-999",2],["igt-3775 igt-3776 igt-3777 igt-3778 igt-3779",2],["igt-509 igt-510 igt-511 igt-512",2],["igt-3892 igt-3893 igt-3894 igt-3895 igt-3896",2],["igt-2223 igt-2224 igt-2225 igt-2226",2],["igt-1855 igt-1856 igt-1857 igt-1858 igt-1859",2],["igt-2970 igt-2971 igt-2972 igt-2973 igt-2974",2],["igt-2533 igt-2534",2],["igt-2056 igt-2057 igt-2058 igt-2059",2],["igt-3552 igt-3553 igt-3554 igt-3555",2],["igt-836 igt-837 igt-838 igt-839 igt-840",2],["igt-2665 igt-2666 igt-2667 igt-2668",2],["igt-497 igt-498 igt-499 igt-500 igt-501 igt-502",2],["igt-1291 igt-1292 igt-1293 igt-1294 igt-1295",2]],"top_words":[["igt-1139",2],["igt-1140",2],["igt-1141",2],["igt-1142",2],["igt-3853",2],["igt-3854",2],["igt-3855",2],["igt-3856",2],["igt-1607",2],["igt-1608",2],["igt-1609",2],["igt-1610",2],["igt-552",2],["igt-553",2],["igt-1498",2],["igt-1499",2],["igt-1500",2],["igt-1501",2],["igt-1502",2],["igt-1731",2],["igt-1732",2],["igt-1733",2],["igt-1734",2],["igt-1000",2],["igt-1001",2]],"vocab_skipped":null,"word_histogram":{"counts":[1173,346,37,14,9,7,2,3,2,6,4,0,0,2,3,0,0,2,0,0,1,0,0,0,0,0,0,0,0,1],"edges":[1.0,3.1,5.2,7.300000000000001,9.4,11.5,13.600000000000001,15.700000000000001,17.8,19.900000000000002,22.0,24.1,26.200000000000003,28.3,30.400000000000002,32.5,34.6,36.7,38.800000000000004,40.9,43.0,45.1,47.2,49.300000000000004,51.400000000000006,53.5,55.6,57.7,59.800000000000004,61.900000000000006,64.0]}},"kind":"text","n":76475,"n_null":74863,"n_unique":1444,"null_rate":0.9789212160836874,"stats":{"allcaps_rate":0.0,"boilerplate_rate":0.0,"duplicate_rate":0.10421836228287841,"emoji_rate":0.0,"len_max":575,"len_mean":23.574441687344912,"len_median":17.0,"len_min":5,"len_p95":53.0,"n_duplicates":168,"n_empty":0,"one_word_rate":0.39081885856079407,"readability_flesch_mean":119.702575,"url_rate":0.0,"vocab_size":3810,"word_mean":2.818238213399504,"word_median":2.0}}],"insights":{"errors":[],"insights":[{"confidence":"high","critiques":[],"evidence_keys":["Value.stats.skew","Value.stats.kurtosis","Value.n_unique","Value.stats.outlier_rate","Parameter_ID.n_unique","Parameter_ID.top_value","Parameter_ID.stats.top_rate","Comment.null_rate","Comment.language_counts","Language_ID.n_unique","Code_ID.n_unique","Source.n_unique","row_count"],"featured_charts":[{"caption":"Check the heavy right skew \u2014 most values are 1-4 but the tail stretches to 28.","column":"Value","kind":"histogram"},{"caption":"See which of the 192 typological features are most represented; the top ones cluster around 1,300-1,500 rows.","column":"Parameter_ID","kind":"bar"},{"caption":"Confirms broad coverage across 2,660 languages with no single language dominating.","column":"Language_ID","kind":"bar"},{"caption":"Shows which parameter-value codes (e.g. '143G-4', '82A-1') appear most frequently.","column":"Code_ID","kind":"bar"},{"caption":"Among the 3% of rows with comments, lengths vary wildly (median 196, max 15,127) and contain HTML \u2014 flag for cleanup.","column":"Comment","kind":"length"}],"model":"anthropic:claude-opus-4-7","narrative":"This dataset is a 76,475-row export of WALS (World Atlas of Language Structures) values, with 8 columns covering language identifiers, typological parameters, coded values, sources, and comments. The core analytical fields are Parameter_ID (192 typological features, top being '83A' at ~2% of rows) and Value (a small numeric coding scheme with 28 distinct values, median 2 and a long right tail up to 28). Two things deserve a closer look first: the Value column is highly skewed (skew 3.49, kurtosis 16.4, ~3.2% outliers), which matters if you plan to aggregate it numerically; and Comment is 96.9% null and, where present, is mostly HTML markup in mixed languages (English and Chinese dominate), so it needs cleaning before any text analysis. Language_ID spans 2,660 unique codes fairly evenly (top 'eng' has just 159 rows), confirming broad cross-linguistic coverage.","scope":"dataset","target":"__global__"},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.len_min","stats.len_max","stats.len_mean","stats.one_word_rate","stats.n_duplicates","stats.n_empty","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"This is a row identifier: every one of the 76,475 values is unique, non-null, and a single token of 5-8 characters. Sample values like '26a-mar' and '114a-yko' follow a consistent 'a-<3-letter-suffix>' pattern, suggesting a structured composite key rather than a random hash. No duplicates or empties, so it is safe to use as a primary key.","role":"identifier","scope":"column","target":"ID","treatment":"Use as primary key for joins; exclude from modelling features."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.len_mean","stats.len_max","stats.one_word_rate","stats.duplicate_rate","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Three-letter codes (len_mean 2.996, len_max 3, one_word_rate 1.0) almost certainly ISO 639-style language identifiers, with 2,660 distinct values across 76,475 rows. Distribution is remarkably flat \u2014 the top code 'eng' appears only 159 times and the next nine codes are within 6 counts of it \u2014 so duplicate_rate of 0.965 reflects a wide catalogue rather than a dominant language. No nulls or empties.","role":"foreign_key","scope":"column","target":"Language_ID","treatment":"left-join on this id to a language lookup, or one-hot only after collapsing rare codes."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.cardinality","stats.entropy_ratio","stats.top_rate","stats.top_value","top_values"],"model":"anthropic:claude-opus-4-7","narrative":"Parameter_ID is a categorical code with 192 distinct values across 76,475 rows and no nulls. The distribution is nearly uniform (entropy ratio 0.94), with the top value '83A' covering only 1.98% of rows; several '143x' codes share an identical count of 1,325, suggesting paired or co-emitted parameters.","role":"foreign_key","scope":"column","target":"Parameter_ID","treatment":"left-join on this id to a parameter lookup table; one-hot only if cardinality is reduced first."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.min","stats.max","stats.median","stats.mean","stats.iqr","stats.skew","stats.kurtosis","stats.n_outliers","stats.outlier_rate","stats.zero_rate"],"model":"anthropic:claude-opus-4-7","narrative":"Small-integer count or rating field bounded between 1 and 28 with only 28 distinct values across 76,475 rows. The distribution is tightly packed (median 2, IQR 3) but has a heavy right tail (skew 3.49, kurtosis 16.36) producing 2,469 outliers (3.2%). No nulls or zeros, so every row carries a positive count.","role":"feature","scope":"column","target":"Value","treatment":"Log1p-transform or cap the upper tail before modelling to tame the skew."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","duplicate_rate","len_min","len_max","one_word_rate","allcaps_rate","top_values","null_rate"],"model":"anthropic:claude-opus-4-7","narrative":"Code_ID holds short uppercase alphanumeric codes (length 4-7, always one word) drawn from a fixed vocabulary of 1,139 distinct values across 76,475 rows. The 98.5% duplicate rate is expected for a categorical key, with the most common code '143G-4' appearing 1,315 times. The pattern (digits + letter + dash + digit) suggests a structured taxonomy code rather than a unique row identifier.","role":"foreign_key","scope":"column","target":"Code_ID","treatment":"Treat as a categorical foreign key; left-join to a code lookup table or target-encode for modelling."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n","n_unique","language_counts","stats.duplicate_rate","stats.len_median","stats.len_max","stats.readability_flesch_mean","top_values","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"Free-text commentary field carrying HTML-formatted lexicographic examples (e.g. `

\u010daj

`), with content spanning at least 7 languages including English (64), Chinese (53) and Persian (11). It is overwhelmingly empty: null_rate is 0.969 across 76,475 rows, leaving only ~2,068 distinct values and a 0.129 duplicate_rate among the populated entries. The negative Flesch mean (-127.13) and HTML-dominated top_words confirm these are markup fragments rather than natural prose, and lengths are highly skewed (median 196, max 15,127).","role":"free_text","scope":"column","target":"Comment","treatment":"Strip HTML, then tokenize per-language before any embedding; given 96.9% nulls, treat presence as a sparse feature."},{"confidence":"high","critiques":[],"evidence_keys":["n","n_unique","null_rate","stats.one_word_rate","stats.duplicate_rate","stats.word_mean","top_values","top_words"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds bibliographic source citations in Author-Year slug form (e.g. 'Bybee-et-al-1994', 'Huber-and-Reed-1992'), with 83% being a single token and a mean of 1.24 words. Despite 29,715 unique values, 57% of entries are duplicates and 9.3% are null, indicating the same handful of references are reused heavily across rows. The 'passim]' token (386) and stray '112]' suggest page-locator fragments leaked in from inconsistent citation formatting.","role":"metadata","scope":"column","target":"Source","treatment":"Normalize citation slugs (strip '[passim]'/page fragments) and treat as a categorical reference key."},{"confidence":"high","critiques":[],"evidence_keys":["null_rate","n","n_unique","one_word_rate","duplicate_rate","n_duplicates","top_values","top_words","word_mean"],"model":"anthropic:claude-opus-4-7","narrative":"This column holds space-separated lists of `igt-####` example identifiers, likely linking each row to one or more interlinear gloss text examples. It is overwhelmingly empty (97.89% null) and only 1,444 of 76,475 rows carry a value, with 39% of those being a single token. Despite the IDs looking unique, 168 duplicate strings (10.4% duplicate rate) appear, so the same example bundle is referenced by multiple rows.","role":"foreign_key","scope":"column","target":"Example_ID","treatment":"Split on whitespace and left-join each igt-id to the examples table; expect most rows to have no match."}],"providers":["anthropic:claude-opus-4-7"],"total_usage":{"completion_tokens":3068,"prompt_tokens":14809,"total_tokens":17877}},"language_counts":{"ar":3,"en":64,"fa":11,"fr":1,"kk":1,"ru":1,"zh":53},"meta":{"generated_at":"2026-05-01T18:36:31+00:00","mode":"full","row_count":76475,"sampled_rows":76475,"seed":42,"source":"/home/coolhand/datasets/language-data/wals_values.csv"},"notes":[],"saturn_version":"0.2.0","schema":{"Code_ID":"text","Comment":"text","Example_ID":"text","ID":"text","Language_ID":"text","Parameter_ID":"categorical","Source":"text","Value":"numeric"}}