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README.md

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+---
+license: cc0-1.0
+language:
+  - kab
+language_bcp47:
+  - kab-Latn
+size_categories:
+  - 10K<n<100K
+task_categories:
+  - token-classification
+task_ids:
+  - lemmatization
+pretty_name: KabG2P — Kabyle grapheme-to-phoneme pronunciation dictionary
+tags:
+  - kabyle
+  - taqbaylit
+  - berber
+  - tamazight
+  - low-resource
+  - grapheme-to-phoneme
+  - g2p
+  - pronunciation
+  - phonetics
+  - ipa
+  - text-to-speech
+  - automatic-speech-recognition
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: default/train.jsonl
+---
+
+# KabG2P
+
+A grapheme-to-phoneme pronunciation dictionary for Kabyle (Taqbaylit, `kab`, Latin script),
+from the [AƔBALU](https://huggingface.co/agbalu) project.
+
+**25,634 Kabyle word–IPA pairs** recovered by aligning 292,921 tokens across 59,462
+sentence pairs at a 99.53% alignment rate, with a **0% ambiguity rate** across the entire
+vocabulary. Every attested word has exactly one IPA reading. It is the phonetics layer
+underlying [`agbalu/Matoub-TTS`](https://huggingface.co/agbalu) and
+[`agbalu/Fadhma-300M`](https://huggingface.co/agbalu/Fadhma-300M), and the reference
+target for any Kabyle G2P model.
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("agbalu/KabG2P", split="train")
+
+print(ds[4])
+# {
+#   "word":     "ababat",
+#   "ipa":      "æβæβæθ",
+#   "variants": [{"ipa": "æβæβæθ", "count": 10}],
+#   "repaired": False
+# }
+```
+
+## Data
+
+| split | rows | source tokens |
+|---|---|---|
+| `train` | 25,634 | 292,921 |
+
+Eight entries whose headword falls outside the Kabyle writing system (`3d`, `androïd`,
+`mp3`, `muḥ€nd`, `rosé`, `supermarché`, `xelleṣ̣`, `ṭeyyeb‟`) are present in the source
+lexicon with correct IPA but are excluded from this release; G2P benchmarking on non-Kabyle
+words is not meaningful.
+
+## Schema
+
+| field | type | description |
+|---|---|---|
+| `word` | `str` | Canonical Kabyle Latin spelling, NFC-normalised |
+| `ipa` | `str` | IPA transcription — the majority pronunciation across aligned tokens |
+| `variants` | `list[dict]` | Frequency-sorted alternative readings: `[{"ipa": "...", "count": N}, ...]` |
+| `repaired` | `bool` | `true` where this project restored a character the upstream source dropped |
+
+## IPA Phoneme Inventory
+
+42 phoneme symbols in the source; 38 appear in 3 or more entries. The full inventory of
+symbols observed across 292,921 aligned tokens:
+
+| category | symbols |
+|---|---|
+| Vowels | `æ` `ɑ` `ə` `i` `u` |
+| Stops (plain) | `b` `d` `ɡ` `k` `t` `p` |
+| Stops (emphatic) | `dˤ` |
+| Fricatives (plain) | `β` `ð` `ʝ` `ç` `θ` `f` `s` `z` `ʃ` `ʒ` `x` `χ` `ʁ` `ħ` `ʕ` `h` |
+| Fricatives (emphatic) | `ðˤ` |
+| Affricates | `t͡ʃ` |
+| Nasals | `m` `n` `ɲ` `ŋ` |
+| Liquids | `r` `l` |
+| Glides | `j` `w` |
+| Length mark | `ː` |
+
+## Phonological Rules
+
+Three conditioned rules are applied and verified against the aligned data:
+
+**1. Spirantization by gemination.**
+Singleton `b d g k t ḍ` → fricatives `β ð ʝ ç θ ðˤ`; geminates → stops `b d ɡ k t dˤ`.
+Count agreement is exact for `t`, `b`, and `k` across 292,921 tokens; off by one for `g`.
+
+**2. Vowel backing beside emphatics and uvulars.**
+`a` → `ɑ` when adjacent to `ḍ ṣ ṭ ẓ ṛ q ɣ x`. The rule is **92.44% accurate** against
+an 87.19% always-`æ` baseline — +5.25 pp.
+
+**3. `i`/`u` laxing is not applied.**
+The only recoverable conditioning environment (closed syllable) scored 75.59% against a
+74.99% baseline — below the threshold for inclusion. Attested words carry their verified
+allophones from this dictionary; out-of-vocabulary words receive the tense vowel.
+
+## Benchmark Baseline
+
+The AƔBALU rule-based G2P system achieves **78.18% exact-match rate** on this dictionary
+without any dictionary lookup — purely from spelling rules. This is the floor any learned
+G2P model must exceed, and the dictionary itself is the training target and ceiling.
+
+## Repaired Entries
+
+The upstream generator drops any character it has no rule for, silently producing a shorter
+IPA string. This release repairs **199 entries**, flagged by `repaired: true`:
+
+| character | affected words | repair |
+|---|---|---|
+| `o` | 128 | `bob` → `ββ` repaired to `βoβ` |
+| `ţ` U+0163 | 73 | `aţan` → `ææn` repaired to `ætːæn` (geminate, from corpus evidence) |
+| `é`, `ï` | 3 | left as-is (outside the writing system) |
+
+🔴 **`ţ` is attested Kabyle.** It is the Dallet-tradition spelling for the spirantised `t`,
+occurring 21,058 times in AƔBALU-Text v1 and in 1,407 word types. It is repaired to the
+geminate on corpus evidence. No audio confirms this mapping — `ţ` does not appear in
+Common Voice Kabyle — and the repair is disclosed rather than hidden.
+
+## Orthography
+
+All headwords are normalised to canonical Kabyle Latin script under normaliser
+`1.3.0+rules1.0.0` (81 rules). 199 entries carried Greek homoglyphs (`ε γ Σ Γ Ԑ`) in the
+upstream source and were corrected to canonical `ɛ ɣ Ɛ Ɣ Ɛ`. The `repaired` field records
+every affected entry.
+
+## Source
+
+| field | value |
+|---|---|
+| Upstream | `boffire/kabyle-g2p-training-data` |
+| Upstream licence | **CC0-1.0** |
+| Sentences aligned | 59,462 (59,185 successfully aligned) |
+| Alignment rate | 99.53% |
+| Ambiguity rate | 0.00% |
+| Normaliser version | `1.3.0+rules1.0.0` |
+| Repaired entries | 199 |
+
+## Citation
+
+```bibtex
+@misc{agbalu_kabg2p,
+  title  = {KabG2P: a Kabyle grapheme-to-phoneme pronunciation dictionary},
+  author = {AƔBALU},
+  year   = {2026},
+  url    = {https://huggingface.co/datasets/agbalu/KabG2P}
+}
+```
+
+Please also cite the upstream source: `boffire/kabyle-g2p-training-data`.
+
+## Licence
+
+**CC0-1.0.** The upstream source (`boffire/kabyle-g2p-training-data`) is CC0-1.0. The
+repairs and normalisation applied by this project are released under the same licence.
+
+Part of [AƔBALU](https://huggingface.co/agbalu), a Kabyle corpus and model collection.

dataset.stats.json

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+{
+  "repo": "KabG2P",
+  "files": [
+    {
+      "config": "default",
+      "split": "train",
+      "rows": 25634,
+      "path": "default/train.jsonl",
+      "bytes": 2884832
+    }
+  ],
+  "rows": 25634
+}