Datasets:

Modalities:
Tabular
Text
Formats:
parquet
Languages:
Hebrew
License:
wordlist / README.md
ChuckLind's picture
Update README.md
1155f4f verified
|
Raw
History Blame Contribute Delete
6.15 kB
---
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
```python
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.