README.md

metadata

language:
  - he
license: cc-by-nc-4.0
pretty_name: Dicta Unvocalized Hebrew Wordlist
size_categories:
  - 1M<n<10M
tags:
  - hebrew
  - lexicon
  - morphology
  - wordlist
configs:
  - config_name: default
    data_files:
      - split: train
        path: wordlist-v1.0.0.parquet
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: lemma_id
      dtype: int64
    - name: word
      dtype: string
    - name: haser
      dtype: string
    - name: maleh_forms
      list: string
    - name: lex
      dtype: string
    - name: lex_maleh
      dtype: string
    - name: root
      dtype: string
    - name: pos
      dtype:
        class_label:
          names:
            '0': ADJECTIVE
            '1': ADVERB
            '2': AT_PREP
            '3': CONJUNCTION
            '4': COPULA
            '5': EXISTENTIAL
            '6': INTERJECTION
            '7': INTERROGATIVE
            '8': NEGATION
            '9': NOUN
            '10': NUMERAL
            '11': PARTICIPLE
            '12': PREFIX
            '13': PREPOSITION
            '14': PRONOUN
            '15': PROPERNAME
            '16': QUANTIFIER
            '17': SHEL_PREP
            '18': TITULAR
            '19': VERB
    - name: binyan
      dtype:
        class_label:
          names:
            '0': HIFIL
            '1': HITPAEL
            '2': HUFAL
            '3': NIFAL
            '4': PAAL
            '5': PIEL
            '6': PUAL
    - name: gender
      dtype:
        class_label:
          names:
            '0': FEMININE
            '1': MASCULINE
            '2': MASCULINEFEMININE
    - name: number
      dtype:
        class_label:
          names:
            '0': DUAL
            '1': PLURAL
            '2': SINGULAR
            '3': SINGULARPLURAL
    - name: person
      dtype:
        class_label:
          names:
            '0': '1'
            '1': '2'
            '2': '3'
            '3': ANY
    - name: tense
      dtype:
        class_label:
          names:
            '0': BAREINFINITIVE
            '1': FUTURE
            '2': IMPERATIVE
            '3': PAST
            '4': PRESENT
            '5': TOINFINITIVE
    - name: status
      dtype:
        class_label:
          names:
            '0': ABSOLUTE
            '1': ABSOLUTECONSTRUCT
            '2': CONSTRUCT
    - name: suffix_function
      dtype:
        class_label:
          names:
            '0': ACCUSATIVENOMINATIVE
            '1': POSSESIVEPRONOUN
    - name: suffix_gender
      dtype:
        class_label:
          names:
            '0': FEMININE
            '1': MASCULINE
            '2': MASCULINEFEMININE
    - name: suffix_number
      dtype:
        class_label:
          names:
            '0': PLURAL
            '1': SINGULAR
    - name: suffix_person
      dtype:
        class_label:
          names:
            '0': '1'
            '1': '2'
            '2': '3'
    - name: shortened_form
      dtype: bool
    - name: inversive_vav
      dtype: bool
    - name: extended_form
      dtype: bool
    - name: poetry
      dtype: bool
    - name: aramaic
      dtype: bool
    - name: pre_modern_form
      dtype: bool
    - name: loazi_word
      dtype: bool
    - name: passive
      dtype: bool
    - name: tanakh
      dtype: bool
  splits:
    - name: train
      num_examples: 4056791

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.

Loading

from datasets import load_dataset
ds = load_dataset("dicta-il/wordlist", split="train")
# 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.

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.