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11 values
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10 values
kab_analysis_train_000000
ittemnunnuḍen
ttemnunnuḍ
Aspect=Imp|VerbForm=Part
participe aoriste intensif
participe
kab_analysis_train_000001
tettemnunnuḍemt
ttemnunnuḍ
Aspect=Imp|Gender=Fem|Mood=Ind|Number=Plur|Person=2
aoriste intensif
2p_f
kab_analysis_train_000002
tettemnunnuḍeḍ
ttemnunnuḍ
Aspect=Imp|Mood=Ind|Number=Sing|Person=2
aoriste intensif
2s
kab_analysis_train_000003
nettemnunnuḍ
ttemnunnuḍ
Aspect=Imp|Polarity=Neg|VerbForm=Part
participe aoriste intensif négatif
participe
kab_analysis_train_000004
ttemnunnuḍet
ttemnunnuḍ
Aspect=Imp|Gender=Masc|Mood=Imp|Number=Plur|Person=2
impératif intensif
2p_m
kab_analysis_train_000005
ittemnunnuḍ
ttemnunnuḍ
Aspect=Imp|Gender=Masc|Mood=Ind|Number=Sing|Person=3
aoriste intensif
3s_m
kab_analysis_train_000006
ttemnunnuḍent
ttemnunnuḍ
Aspect=Imp|Gender=Fem|Mood=Ind|Number=Plur|Person=3
aoriste intensif
3p_f
kab_analysis_train_000007
ttemnunnuḍeɣ
ttemnunnuḍ
Aspect=Imp|Mood=Ind|Number=Sing|Person=1
aoriste intensif
1s
kab_analysis_train_000008
tettemnunnuḍem
ttemnunnuḍ
Aspect=Imp|Gender=Masc|Mood=Ind|Number=Plur|Person=2
aoriste intensif
2p_m
kab_analysis_train_000009
ttemnunnuḍ
ttemnunnuḍ
Aspect=Imp|Mood=Imp|Number=Sing|Person=2
impératif intensif
2s
kab_analysis_train_000010
yettemnunnuḍ
ttemnunnuḍ
Aspect=Imp|Gender=Masc|Mood=Ind|Number=Sing|Person=3
aoriste intensif
3s_m
kab_analysis_train_000011
ttemnunnuḍemt
ttemnunnuḍ
Aspect=Imp|Gender=Fem|Mood=Imp|Number=Plur|Person=2
impératif intensif
2p_f
kab_analysis_train_000012
tettemnunnuḍ
ttemnunnuḍ
Aspect=Imp|Gender=Fem|Mood=Ind|Number=Sing|Person=3
aoriste intensif
3s_f
kab_analysis_train_000013
ttemnunnuḍen
ttemnunnuḍ
Aspect=Imp|Gender=Masc|Mood=Ind|Number=Plur|Person=3
aoriste intensif
3p_m
kab_analysis_train_000014
yettemnunnuḍen
ttemnunnuḍ
Aspect=Imp|VerbForm=Part
participe aoriste intensif
participe
kab_analysis_train_000015
nettemnunnuḍ
ttemnunnuḍ
Aspect=Imp|Mood=Ind|Number=Plur|Person=1
aoriste intensif
1p
kab_analysis_train_000016
teḥḍimemt
ḥḍem
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Plur|Person=2|Polarity=Neg
prétérit négatif
2p_f
kab_analysis_train_000017
neḥḍem
ḥḍem
Aspect=Perf|Mood=Ind|Number=Plur|Person=1
prétérit
1p
kab_analysis_train_000018
ḥeḍmet
ḥḍem
Aspect=Prosp|Gender=Masc|Mood=Imp|Number=Plur|Person=2
impératif
2p_m
kab_analysis_train_000019
ḥeḍment
ḥḍem
Aspect=Prosp|Gender=Fem|Mood=Ind|Number=Plur|Person=3
aoriste
3p_f
kab_analysis_train_000020
ḥeḍmen
ḥḍem
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Plur|Person=3
aoriste
3p_m
kab_analysis_train_000021
tḥeḍmem
ḥḍem
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Plur|Person=2
aoriste
2p_m
kab_analysis_train_000022
tḥeḍmeḍ
ḥḍem
Aspect=Prosp|Mood=Ind|Number=Sing|Person=2
aoriste
2s
kab_analysis_train_000023
neḥḍim
ḥḍem
Aspect=Perf|Mood=Ind|Number=Plur|Person=1|Polarity=Neg
prétérit négatif
1p
kab_analysis_train_000024
ḥeḍmeɣ
ḥḍem
Aspect=Prosp|Mood=Ind|Number=Sing|Person=1
aoriste
1s
kab_analysis_train_000025
yeḥḍim
ḥḍem
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Sing|Person=3|Polarity=Neg
prétérit négatif
3s_m
kab_analysis_train_000026
ḥḍimeɣ
ḥḍem
Aspect=Perf|Mood=Ind|Number=Sing|Person=1|Polarity=Neg
prétérit négatif
1s
kab_analysis_train_000027
tḥeḍmeḍ
ḥḍem
Aspect=Perf|Mood=Ind|Number=Sing|Person=2
prétérit
2s
kab_analysis_train_000028
neḥḍem
ḥḍem
Aspect=Prosp|Mood=Ind|Number=Plur|Person=1
aoriste
1p
kab_analysis_train_000029
iḥḍem
ḥḍem
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Sing|Person=3
prétérit
3s_m
kab_analysis_train_000030
tḥeḍmem
ḥḍem
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=2
prétérit
2p_m
kab_analysis_train_000031
teḥḍimeḍ
ḥḍem
Aspect=Perf|Mood=Ind|Number=Sing|Person=2|Polarity=Neg
prétérit négatif
2s
kab_analysis_train_000032
neḥḍim
ḥḍem
Aspect=Perf|Polarity=Neg|VerbForm=Part
participe prétérit négatif
participe
kab_analysis_train_000033
tḥeḍmemt
ḥḍem
Aspect=Prosp|Gender=Fem|Mood=Ind|Number=Plur|Person=2
aoriste
2p_f
kab_analysis_train_000034
teḥḍim
ḥḍem
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Sing|Person=3|Polarity=Neg
prétérit négatif
3s_f
kab_analysis_train_000035
tḥeḍmemt
ḥḍem
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Plur|Person=2
prétérit
2p_f
kab_analysis_train_000036
ḥeḍment
ḥḍem
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Plur|Person=3
prétérit
3p_f
kab_analysis_train_000037
ḥeḍmeɣ
ḥḍem
Aspect=Perf|Mood=Ind|Number=Sing|Person=1
prétérit
1s
kab_analysis_train_000038
iḥḍim
ḥḍem
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Sing|Person=3|Polarity=Neg
prétérit négatif
3s_m
kab_analysis_train_000039
ḥḍimen
ḥḍem
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=3|Polarity=Neg
prétérit négatif
3p_m
kab_analysis_train_000040
iḥeḍmen
ḥḍem
Aspect=Perf|VerbForm=Part
participe prétérit
participe
kab_analysis_train_000041
ḥeḍmemt
ḥḍem
Aspect=Prosp|Gender=Fem|Mood=Imp|Number=Plur|Person=2
impératif
2p_f
kab_analysis_train_000042
teḥḍimem
ḥḍem
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=2|Polarity=Neg
prétérit négatif
2p_m
kab_analysis_train_000043
ḥḍem
ḥḍem
Aspect=Prosp|Mood=Imp|Number=Sing|Person=2
impératif
2s
kab_analysis_train_000044
yeḥḍem
ḥḍem
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Sing|Person=3
prétérit
3s_m
kab_analysis_train_000045
teḥḍem
ḥḍem
Aspect=Prosp|Gender=Fem|Mood=Ind|Number=Sing|Person=3
aoriste
3s_f
kab_analysis_train_000046
ḥḍiment
ḥḍem
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Plur|Person=3|Polarity=Neg
prétérit négatif
3p_f
kab_analysis_train_000047
iḥeḍmen
ḥḍem
Aspect=Prosp|VerbForm=Part
participe aoriste
participe
kab_analysis_train_000048
ḥeḍmen
ḥḍem
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=3
prétérit
3p_m
kab_analysis_train_000049
iḥḍem
ḥḍem
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Sing|Person=3
aoriste
3s_m
kab_analysis_train_000050
teḥḍem
ḥḍem
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Sing|Person=3
prétérit
3s_f
kab_analysis_train_000051
yeḥḍem
ḥḍem
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Sing|Person=3
aoriste
3s_m
kab_analysis_train_000052
imseftar
mseftar
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Sing|Person=3
prétérit
3s_m
kab_analysis_train_000053
temseftarem
mseftar
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=2|Polarity=Neg
prétérit négatif
2p_m
kab_analysis_train_000054
mseftarent
mseftar
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Plur|Person=3|Polarity=Neg
prétérit négatif
3p_f
kab_analysis_train_000055
mseftaret
mseftar
Aspect=Prosp|Gender=Masc|Mood=Imp|Number=Plur|Person=2
impératif
2p_m
kab_analysis_train_000056
mseftarent
mseftar
Aspect=Prosp|Gender=Fem|Mood=Ind|Number=Plur|Person=3
aoriste
3p_f
kab_analysis_train_000057
yemseftaren
mseftar
Aspect=Prosp|VerbForm=Part
participe aoriste
participe
kab_analysis_train_000058
temseftar
mseftar
Aspect=Prosp|Gender=Fem|Mood=Ind|Number=Sing|Person=3
aoriste
3s_f
kab_analysis_train_000059
imseftar
mseftar
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Sing|Person=3
aoriste
3s_m
kab_analysis_train_000060
yemseftaren
mseftar
Aspect=Perf|VerbForm=Part
participe prétérit
participe
kab_analysis_train_000061
nemseftar
mseftar
Aspect=Perf|Mood=Ind|Number=Plur|Person=1|Polarity=Neg
prétérit négatif
1p
kab_analysis_train_000062
temseftar
mseftar
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Sing|Person=3|Polarity=Neg
prétérit négatif
3s_f
kab_analysis_train_000063
temseftaremt
mseftar
Aspect=Prosp|Gender=Fem|Mood=Ind|Number=Plur|Person=2
aoriste
2p_f
kab_analysis_train_000064
temseftarem
mseftar
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Plur|Person=2
aoriste
2p_m
kab_analysis_train_000065
mseftaren
mseftar
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=3|Polarity=Neg
prétérit négatif
3p_m
kab_analysis_train_000066
temseftarem
mseftar
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=2
prétérit
2p_m
kab_analysis_train_000067
mseftar
mseftar
Aspect=Prosp|Mood=Imp|Number=Sing|Person=2
impératif
2s
kab_analysis_train_000068
yemseftar
mseftar
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Sing|Person=3
aoriste
3s_m
kab_analysis_train_000069
yemseftar
mseftar
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Sing|Person=3|Polarity=Neg
prétérit négatif
3s_m
kab_analysis_train_000070
temseftaremt
mseftar
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Plur|Person=2
prétérit
2p_f
kab_analysis_train_000071
mseftaren
mseftar
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Plur|Person=3
aoriste
3p_m
kab_analysis_train_000072
mseftareɣ
mseftar
Aspect=Perf|Mood=Ind|Number=Sing|Person=1
prétérit
1s
kab_analysis_train_000073
nemseftar
mseftar
Aspect=Perf|Polarity=Neg|VerbForm=Part
participe prétérit négatif
participe
kab_analysis_train_000074
mseftaremt
mseftar
Aspect=Prosp|Gender=Fem|Mood=Imp|Number=Plur|Person=2
impératif
2p_f
kab_analysis_train_000075
temseftar
mseftar
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Sing|Person=3
prétérit
3s_f
kab_analysis_train_000076
temseftareḍ
mseftar
Aspect=Perf|Mood=Ind|Number=Sing|Person=2
prétérit
2s
kab_analysis_train_000077
imseftar
mseftar
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Sing|Person=3|Polarity=Neg
prétérit négatif
3s_m
kab_analysis_train_000078
temseftaremt
mseftar
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Plur|Person=2|Polarity=Neg
prétérit négatif
2p_f
kab_analysis_train_000079
nemseftar
mseftar
Aspect=Perf|Mood=Ind|Number=Plur|Person=1
prétérit
1p
kab_analysis_train_000080
imseftaren
mseftar
Aspect=Prosp|VerbForm=Part
participe aoriste
participe
kab_analysis_train_000081
mseftaren
mseftar
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=3
prétérit
3p_m
kab_analysis_train_000082
mseftareɣ
mseftar
Aspect=Prosp|Mood=Ind|Number=Sing|Person=1
aoriste
1s
kab_analysis_train_000083
temseftareḍ
mseftar
Aspect=Prosp|Mood=Ind|Number=Sing|Person=2
aoriste
2s
kab_analysis_train_000084
mseftarent
mseftar
Aspect=Perf|Gender=Fem|Mood=Ind|Number=Plur|Person=3
prétérit
3p_f
kab_analysis_train_000085
nemseftar
mseftar
Aspect=Prosp|Mood=Ind|Number=Plur|Person=1
aoriste
1p
kab_analysis_train_000086
temseftareḍ
mseftar
Aspect=Perf|Mood=Ind|Number=Sing|Person=2|Polarity=Neg
prétérit négatif
2s
kab_analysis_train_000087
imseftaren
mseftar
Aspect=Perf|VerbForm=Part
participe prétérit
participe
kab_analysis_train_000088
yemseftar
mseftar
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Sing|Person=3
prétérit
3s_m
kab_analysis_train_000089
mseftareɣ
mseftar
Aspect=Perf|Mood=Ind|Number=Sing|Person=1|Polarity=Neg
prétérit négatif
1s
kab_analysis_train_000090
trennek
rennek
Aspect=Prosp|Gender=Fem|Mood=Ind|Number=Sing|Person=3
aoriste
3s_f
kab_analysis_train_000091
irennek
rennek
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Sing|Person=3
aoriste
3s_m
kab_analysis_train_000092
rennkeɣ
rennek
Aspect=Prosp|Mood=Ind|Number=Sing|Person=1
aoriste
1s
kab_analysis_train_000093
trennkeḍ
rennek
Aspect=Perf|Mood=Ind|Number=Sing|Person=2|Polarity=Neg
prétérit négatif
2s
kab_analysis_train_000094
rennkeɣ
rennek
Aspect=Perf|Mood=Ind|Number=Sing|Person=1
prétérit
1s
kab_analysis_train_000095
irennken
rennek
Aspect=Perf|VerbForm=Part
participe prétérit
participe
kab_analysis_train_000096
nrennek
rennek
Aspect=Perf|Mood=Ind|Number=Plur|Person=1|Polarity=Neg
prétérit négatif
1p
kab_analysis_train_000097
trennkem
rennek
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=2|Polarity=Neg
prétérit négatif
2p_m
kab_analysis_train_000098
rennken
rennek
Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|Person=3|Polarity=Neg
prétérit négatif
3p_m
kab_analysis_train_000099
trennkem
rennek
Aspect=Prosp|Gender=Masc|Mood=Ind|Number=Plur|Person=2
aoriste
2p_m
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KabInflect

A morphological inflection and analysis benchmark for Kabyle (Taqbaylit, kab, Latin script), from the AƔBALU project.

344,745 inflected verb form entries across 13,226 unique verb lemmas, partitioned into paradigmatically sealed splits (0 paradigm leakage), plus 6,198 complete verb conjugation tables.

from datasets import load_dataset

inflect = load_dataset("agbalu/KabInflect", "inflection")
analysis = load_dataset("agbalu/KabInflect", "analysis")
paradigms = load_dataset("agbalu/KabInflect", "paradigms", split="train")

inflection

Morphological Inflection (Seq2Seq Morphological Generation): (lemma, feats)form.

344,745 total entries across 13,226 verb lemmas.

split lemmas inflected forms
train 10,580 276,717
dev 1,323 34,109
test 1,323 33,919
total 13,226 344,745

Schema

field type description
id string kab_inflect_{split}_{idx}
lemma string Base verb infinitif (canonical)
feats string Universal Dependencies (UD) FEATS (e.g. Aspect=Perf|Gender=Masc|Number=Sing|Person=3)
tense_raw string Legacy source tense descriptor (e.g. prétérit, aoriste intensif)
person_raw string Legacy source person descriptor (e.g. 3s_m, 1p)
form string Inflected surface form in canonical Kabyle orthography

analysis

Morphological Analysis and Lemmatisation: form(lemma, feats).

Same 344,745 entries, indexed by inflected surface form.

paradigms

6,198 full verb paradigms with French translations, irregularity indicators (is_irregular, is_derived), pattern verbs, and principal aspect stems (imperative, aorist, preterite, negative_preterite, aorist_participle, preterite_participle, negative_preterite_participle, intensive_forms).

Paradigmatically Sealed Partitioning (Zero Paradigm Leakage)

Upstream datasets randomly split individual inflected forms across train and test. That design flaw causes extreme data leakage: forms of the exact same verb (e.g. awḍeɣ, tewḍeḍ, yeweḍ) appear in both splits, so a test score measures simple paradigm memorisation rather than linguistic learning.

agbalu/KabInflect fixes this:

  • Entries are grouped strictly by verb lemma (infinitif).
  • Splitting is performed at the lemma level with seed 42.
  • 0% lemma overlap: all 1,323 verbs in test (33,919 forms) are completely unseen during training. A system must learn the underlying rules of Kabyle morphology to succeed.

Orthography

All Kabyle text is normalised under normaliser 1.3.0+rules1.0.0 (81 rules), preserving sub-dot emphatic distinctions (ɣ ḍ ḥ ṭ ṛ ẓ ṣ). The source text carries 0.00% homoglyph error.

Evaluation Protocol & Baseline Floor

The benchmark evaluates morphological generation (inflection) and parsing (analysis) on 1,323 held-out test verb lemmas (33,919 unseen test forms).

Task Baseline / System Metric Score Notes
Inflection Identity Lemma Floor Exact Match (EM) 16.82% Naive floor predicting form = lemma
Inflection Identity Lemma Floor Character Error Rate (CER) 34.21% Levenshtein edit distance ratio
Analysis Unsupervised Lexicon Lookup EM Accuracy 78.41% Exact match via agbalu/KabLex lookup

Because splits are sealed by verb lemma (0% paradigm overlap), models must learn generalisable Kabyle morphological rules to surpass the baseline floor on unseen paradigms.

Known Limits

  • Verb-focused. Covers Kabyle verbal morphology (the largest morphological paradigm family in the language); nominal annexed-state paradigms are covered separately in agbalu/KabLex.
  • Gloss language. Paradigm translations are French, reflecting the source dictionary.
  • Standard orthography. Uses standard Kabyle Latin script; does not cover dialectal spellings or Tifinagh (see agbalu/KabTifinagh for script conversion).

Citation

@misc{agbalu_kabinflect,
  title  = {KabInflect: a Kabyle morphological inflection and analysis benchmark},
  author = {AƔBALU},
  year   = {2026},
  url    = {https://huggingface.co/datasets/agbalu/KabInflect}
}

Please also cite boffire/kabyle-verbs for the upstream data collection.

Licence

CC-BY-4.0. Free to share, modify, and build upon with proper attribution.

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