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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - kab
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+ language_bcp47:
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+ - kab-Latn
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+ size_categories:
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+ - 100K<n<1M
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+ task_categories:
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+ - text2text-generation
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+ - token-classification
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+ task_ids:
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+ - morphological-inflection
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+ - lemmatization
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+ pretty_name: KabInflect — Kabyle morphological inflection and analysis benchmark
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+ tags:
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+ - kabyle
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+ - taqbaylit
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+ - berber
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+ - tamazight
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+ - low-resource
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+ - morphology
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+ - inflection
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+ - lemmatization
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+ configs:
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+ - config_name: inflection
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+ data_files:
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+ - split: train
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+ path: inflection/train.parquet
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+ - split: dev
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+ path: inflection/dev.parquet
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+ - split: test
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+ path: inflection/test.parquet
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+ - config_name: analysis
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+ data_files:
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+ - split: train
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+ path: analysis/train.parquet
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+ - split: dev
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+ path: analysis/dev.parquet
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+ - split: test
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+ path: analysis/test.parquet
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+ - config_name: paradigms
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+ data_files:
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+ - split: train
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+ path: paradigms/train.parquet
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+ ---
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+
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+ # KabInflect
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+
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+ A morphological inflection and analysis benchmark for Kabyle (Taqbaylit, `kab`, Latin script), from the
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+ [AƔBALU](https://huggingface.co/agbalu) project.
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+
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+ **344,745 inflected verb form entries** across **13,226 unique verb lemmas**, partitioned into
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+ paradigmatically sealed splits (0 paradigm leakage), plus **6,198 complete verb conjugation tables**.
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ inflect = load_dataset("agbalu/KabInflect", "inflection")
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+ analysis = load_dataset("agbalu/KabInflect", "analysis")
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+ paradigms = load_dataset("agbalu/KabInflect", "paradigms", split="train")
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+ ```
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+
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+ ## `inflection`
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+
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+ Morphological Inflection (Seq2Seq Morphological Generation): `(lemma, feats)` → `form`.
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+
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+ 344,745 total entries across 13,226 verb lemmas.
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+
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+ | split | lemmas | inflected forms |
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+ |---|---|---|
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+ | `train` | 10,580 | 276,717 |
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+ | `dev` | 1,323 | 34,109 |
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+ | `test` | 1,323 | 33,919 |
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+ | **total** | **13,226** | **344,745** |
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+
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+ ### Schema
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+
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+ | field | type | description |
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+ |---|---|---|
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+ | `id` | string | `kab_inflect_{split}_{idx}` |
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+ | `lemma` | string | Base verb infinitif (canonical) |
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+ | `feats` | string | Universal Dependencies (UD) FEATS (e.g. `Aspect=Perf\|Gender=Masc\|Number=Sing\|Person=3`) |
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+ | `tense_raw` | string | Legacy source tense descriptor (e.g. `prétérit`, `aoriste intensif`) |
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+ | `person_raw` | string | Legacy source person descriptor (e.g. `3s_m`, `1p`) |
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+ | `form` | string | Inflected surface form in canonical Kabyle orthography |
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+
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+ ## `analysis`
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+
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+ Morphological Analysis and Lemmatisation: `form` → `(lemma, feats)`.
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+
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+ Same 344,745 entries, indexed by inflected surface form.
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+
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+ ## `paradigms`
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+
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+ 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`).
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+
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+ ## Paradigmatically Sealed Partitioning (Zero Paradigm Leakage)
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+
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+ **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.
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+
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+ `agbalu/KabInflect` fixes this:
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+ - Entries are grouped strictly by **verb lemma** (`infinitif`).
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+ - Splitting is performed at the **lemma level** with seed 42.
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+ - **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.
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+
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+ ## Orthography
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+
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+ 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.
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+
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+ ## Evaluation Protocol & Baseline Floor
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+
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+ The benchmark evaluates morphological generation (`inflection`) and parsing (`analysis`) on **1,323 held-out test verb lemmas (33,919 unseen test forms)**.
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+
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+ | Task | Baseline / System | Metric | Score | Notes |
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+ |---|---|---|---|---|
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+ | Inflection | Identity Lemma Floor | Exact Match (EM) | 16.82% | Naive floor predicting `form = lemma` |
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+ | Inflection | Identity Lemma Floor | Character Error Rate (CER) | 34.21% | Levenshtein edit distance ratio |
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+ | Analysis | Unsupervised Lexicon Lookup | EM Accuracy | 78.41% | Exact match via `agbalu/KabLex` lookup |
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+
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+ 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.
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+
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+ ## Known Limits
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+
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+ - **Verb-focused.** Covers Kabyle verbal morphology (the largest morphological paradigm family in the language); nominal annexed-state paradigms are covered separately in `agbalu/KabLex`.
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+ - **Gloss language.** Paradigm translations are French, reflecting the source dictionary.
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+ - **Standard orthography.** Uses standard Kabyle Latin script; does not cover dialectal spellings or Tifinagh (see `agbalu/KabTifinagh` for script conversion).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{agbalu_kabinflect,
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+ title = {KabInflect: a Kabyle morphological inflection and analysis benchmark},
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+ author = {AƔBALU},
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+ year = {2026},
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+ url = {https://huggingface.co/datasets/agbalu/KabInflect}
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+ }
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+ ```
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+
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+ Please also cite `boffire/kabyle-verbs` for the upstream data collection.
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+
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+ ## Licence
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+
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+ **CC-BY-4.0.** Free to share, modify, and build upon with proper attribution.
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+ {
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+ "dataset_name": "agbalu/KabInflect",
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+ "description": "Standardised Kabyle Morphological Inflection, Lemmatisation, and Conjugation Benchmark",
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+ "language": "kab_Latn",
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+ "license": "CC-BY-4.0",
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+ "total_inflected_forms": 344745,
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+ "unique_lemmas": 13226,
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+ "unique_paradigms": 6198,
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+ "splits": {
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+ "forms": 276717
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+ },
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+ "forms": 33919
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+ }
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+ },
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+ "source": "hf.boffire.kabyle-verbs (CC-BY-4.0), normalized under A\u0194BALU standard 1.3.0+rules1.0.0"
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+ }
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