Dicta Unvocalized Hebrew Wordlist

Every distinct unvocalized (nikud-stripped) Hebrew word form Dicta knows, with its morphology, lemma, and root. There is no compact natural key: rows are distinguished only by the full combination of word + lex + morphology + root + the linguistic flags. Use id as the row key.

This repo has two configs:

• default — the full wordlist below (every theoretically valid word-object).
• attested — wordforms actually observed in Dicta corpora, with the prefix and the genres they were seen in. See Attested wordforms.

Loading

from datasets import load_dataset
ds = load_dataset("dicta-il/wordlist", "default", split="train")   # or "attested"
# every categorical column loads as a ClassLabel (int codes); .int2str decodes any of them:
ds.features["pos"].int2str(ds[0]["pos"])   # -> e.g. "VERB"; same for binyan, gender, tense, ...

Columns

column	type	notes
id	int	per-row id
lemma_id	int	one per unique vocalized lex (rows sharing a lemma share it)
word	string	the word's most common full spelling, with matres lectionis (maleh). Not unique — rows can share a word with different lemma/morphology
haser	string?	defective (haser) spelling — without matres lectionis — if distinct
maleh_forms	list[string]	additional maleh spellings (with matres lectionis) believed to be in use, if any
lex	string	vocalized lemma (dictionary form)
lex_maleh	string	unvocalized maleh spelling of the lemma
root	string?	consonantal root
pos	ClassLabel	part of speech
binyan	ClassLabel	verb stem
gender, number, person, tense, status	ClassLabel	inflectional morphology
suffix_function, suffix_gender, suffix_number, suffix_person	ClassLabel	pronominal suffix, null if none
shortened_form, inversive_vav, extended_form, poetry, aramaic, pre_modern_form, loazi_word, passive, tanakh	bool	linguistic flags

Categorical columns are ClassLabel: the Parquet stores integer codes and the label names live in the file's feature metadata (recovered automatically by datasets).

Label glossary (non-obvious values)

• pos: SHEL_PREP = של and inflections thereof; AT_PREP = את and inflections thereof; TITULAR = title (e.g. ר', מר).
• person / suffix_person: ANY = unspecified person.
• gender: MASCULINEFEMININE = either.
• status: ABSOLUTECONSTRUCT = form valid as both absolute and construct.
• suffix_function: POSSESIVEPRONOUN (possessive) vs ACCUSATIVENOMINATIVE (object/subject clitic). Note: tagging of function words that carry suffixes is inconsistent.

Attested wordforms (attested config)

Where the default config lists every theoretically valid word-object Dicta knows, the attested config lists wordform+morphologies believed by Dicta to actually exist in the wild with some frequency. Each row is a distinct (wordform, prefix, morphology) seen or tagged in at least one corpus, across five genres.

from datasets import load_dataset
ds = load_dataset("dicta-il/wordlist", "attested", split="train")
ds.features["pos"].int2str(ds[0]["pos"])
ds.features["genres"].feature.int2str(ds[0]["genres"])   # genres is a list of ClassLabels

column	type	notes
wordform	string	the attested unvocalized spelling, with the prefix removed
prefix	string	the attached prefix letters (empty if none)
pos	ClassLabel	part of speech — includes INITIALISM, which the default table does not
binyan, gender, number, person, tense, status	ClassLabel	inflectional morphology
suffix_function, suffix_gender, suffix_number, suffix_person	ClassLabel	pronominal suffix, null if none
genres	list[ClassLabel]	genres the form was attested in: Modern, Rabbinic, Talmud, ModernPoetry, MedievalPoetry

Notes:

• No lemma/haser/maleh columns: those are word-object facts, not observations. To recover them, join back to the default config — but note a wordform is any spelling of a word-object, so it may appear in the default config's word, haser, or maleh_forms. Match against all three (e.g. wordform IN (word, haser) or wordform a member of maleh_forms), plus morphology.
• wordform is ~99% a subset of the default table's known spellings (word/haser/maleh_forms); the residual is mostly out-of-wordlist POS (e.g. INITIALISM), some classes that are too productive to capture in a list (Internet-style spellings, names of years, etc.), and a few of what appear to be tagging errors.

Maintainers: label stability (read before updating)

Categorical columns are ClassLabel, and each integer code is the position of its name in the label list. When regenerating or extending this dataset — by any means — you must only append new label values at the end. Never reorder or insert: doing so silently remaps existing codes and breaks every consumer that compares against integers across versions. (This is why the attested config's pos has INITIALISM appended at index 20, after the default config's 20 values.)

See CHANGELOG.md for version history.