Dataset card

README.md

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+---
+license: mit
+language:
+  - ar
+  - fr
+task_categories:
+  - translation
+tags:
+  - transliteration
+  - names
+  - arabic
+  - maghreb
+  - algeria
+  - benchmark
+  - identity-matching
+size_categories:
+  - 1K<n<10K
+pretty_name: DziriNames benchmark
+---
+
+# DziriNames benchmark — Arabic → Latin transliteration of Algerian names
+
+**1,941 Arabic name keys, 3,480 accepted Latin references from real Algerian civil-status data.** The first public benchmark for a problem screening systems get quietly wrong: Algerian names are romanized by French-era civil-status conventions (`عبد القادر` → **Abdelkader**), not Mashreq conventions (`Abdul Al-Qadir`) — and models trained on world data fail on them.
+
+## Format
+
+One JSON object per line (`eval_dz.jsonl`):
+
+```json
+{"ar": "آدم نسيم", "refs": ["adem nassim"], "n_refs": 1,
+ "refs_mots": [["adem"], ["nassim", "nassime", "noussim"]],
+ "src": ["dzns_eval_large"], "s2": false, "type": ["prenom"],
+ "fuite_base": false, "note": ""}
+```
+
+- `ar` — normalized Arabic key
+- `refs` — accepted Latin spellings (1.79 per key on average, max 38)
+- `refs_mots` — per-word attested spelling groups for the 595 compound names (enables composed scoring)
+- `type` — prenom / patronyme
+- `fuite_base` — `true` for the 231 keys that also occur in common Wikidata-derived training corpora (lets you measure leak-free: 1,710 keys)
+- `s2` — historic hard-stratum flag (190 keys)
+
+## Provenance & quality
+
+Every reference is **attested** — drawn exclusively from two openly licensed corpora of real Algerian names, nothing generated by rule or model. 295 disputed couples were hand-adjudicated; the measured reference error rate of the source file is 0.20 %. The build is deterministic (fixed seed, byte-identical rebuilds). Full lineage: `PROVENANCE.md`, adjudications: `verdicts.json`.
+
+These are registers of onomastic forms only — no birth dates, no addresses, no identifying attributes of any person.
+
+## Baseline results (Arabic→Latin, recall @10, composed references)
+
+| System | @10 |
+| --- | ---: |
+| DziriNames `mag_ft_lr1e-4` (5.5M params, Maghrebi fine-tune) | **79.5 %** |
+| DziriNames `mag_mix50` (50 % world replay) | 76.1 % |
+| `rebal_f2` (no Maghrebi fine-tune) | 68.5 % |
+| ByT5-small (300M), fine-tuned on the same world corpus | loses by 33 pts @20 vs the 5.5M model |
+
+Code, models and evaluation harness: **https://github.com/ElphenomenoCoding/DziriNames**
+
+## Sources & attribution
+
+> Algerian names and surnames dataset — Youcef Amoura (rykerdz), Kaggle, 2024, MIT.
+> https://www.kaggle.com/datasets/rykerdz/algerian-names-and-surnames-dataset
+>
+> Algerian Name Transcription Corpus — Taha Zerrouki (linuxscout), CC0-1.0.
+> https://github.com/linuxscout/algerian-name-transcription-corpus
+
+## Citation
+
+```bibtex
+@misc{benakmoume2026dzirinames,
+  author = {Benakmoume, Yacine},
+  title  = {DziriNames: a benchmark and retrieval-first system for Arabic--Latin transliteration of Maghrebi names},
+  year   = {2026},
+  url    = {https://github.com/ElphenomenoCoding/DziriNames}
+}
+```