initial: 500K Wiki + 150K NFC-fixed VN news training pairs

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+news_150k.jsonl filter=lfs diff=lfs merge=lfs -text
+wiki_500k.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-sa-4.0
+language:
+  - vi
+tags:
+  - vietnamese
+  - diacritic-restoration
+  - training
+size_categories:
+  - 100K<n<1M
+task_categories:
+  - text-generation
+configs:
+  - config_name: wiki_500k
+    data_files:
+      - split: train
+        path: wiki_500k.jsonl
+      - split: validation
+        path: wiki_val_5k.jsonl
+  - config_name: news_150k
+    data_files:
+      - split: train
+        path: news_150k.jsonl
+---
+
+# `nrl-ai/vn-diacritic-train` — Vietnamese diacritic-restoration training data
+
+Two register-distinct training corpora used to fine-tune Vietnamese
+diacritic-restoration models in the
+[`nom-vn`](https://github.com/nrl-ai/nom-vn) project. Each row is a
+JSONL record:
+
+```json
+{"input": "diacritic-stripped text", "target": "correctly diacriticized original"}
+```
+
+Inputs are produced by
+[`nom.text.strip_diacritics`](https://github.com/nrl-ai/nom-vn/blob/main/src/nom/text/strip_diacritics.py)
+on the target. Both fields are NFC-normalized.
+
+## Configs
+
+### `wiki_500k`
+
+500K (input, target) pairs from
+[`hirine/wikipedia-vietnamese-1M296K-dataset`](https://huggingface.co/datasets/hirine/wikipedia-vietnamese-1M296K-dataset)
+(CC-BY-SA-4.0). Encyclopedic register, broad topical coverage.
+
+Filtering pipeline (deterministic, stride=7):
+
+1. Sentence-split each article (regex on terminator + capital VN letter).
+2. Drop sentences shorter than 30 chars or longer than 300.
+3. Drop sentences with ASCII ratio > 95 % (URLs, tables, code blocks).
+4. Drop sentences without diacritics (no training signal).
+5. Drop sentences in the held-out diacritic eval set
+   (see [`nrl-ai/vn-diacritic-eval`](https://huggingface.co/datasets/nrl-ai/vn-diacritic-eval)).
+6. Deduplicate exact target.
+7. Stride-sample every 7th eligible sentence — diverse without RNG.
+
+Includes a 5K held-out validation split (`wiki_val_5k.jsonl`). 0
+contamination against the diacritic eval slices (audited 2026-04-30).
+
+**License:** CC-BY-SA-4.0 (inherited from the source corpus).
+
+### `news_150k`
+
+150K (input, target) pairs from
+[`tmnam20/Vietnamese-News-dedup`](https://huggingface.co/datasets/tmnam20/Vietnamese-News-dedup)
+(CC-BY-4.0). Modern news / business register — complements `wiki_500k`'s
+encyclopedic tilt.
+
+Same filters as `wiki_500k` plus:
+
+- **NFC normalization is critical here.** The upstream `tmnam20`
+  dataset ships ~79 % of its sentences in NFD-decomposed form (e.g.
+  "Cộng" stored as 'C' + 'o' + COMBINING DOT BELOW + COMBINING
+  CIRCUMFLEX rather than the precomposed U+1ED9). Training a model
+  on NFD targets when the eval is NFC produces silent quality
+  regressions (we hit a -15.45 pp business-register regression
+  before catching this). All targets in this config are NFC-normalized
+  before write.
+
+- Stride=3 (vs wiki's 7) since news articles are denser and shorter.
+
+**License:** CC-BY-4.0 (inherited from the source corpus). More
+permissive than `wiki_500k` — derivatives don't need to be share-alike.
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+# Wikipedia 500K
+wiki = load_dataset("nrl-ai/vn-diacritic-train", "wiki_500k", split="train")
+print(wiki[0])
+# {'input': 'Hop dong nay duoc lap...', 'target': 'Hợp đồng này được lập...'}
+
+# Mix wiki + news for register balance (recipe used by the published
+# `nrl-ai/vn-diacritic-vit5-base` training)
+import random
+wiki = load_dataset("nrl-ai/vn-diacritic-train", "wiki_500k", split="train").shuffle(seed=42).select(range(350_000))
+news = load_dataset("nrl-ai/vn-diacritic-train", "news_150k", split="train")
+mixed = (wiki.to_list() + news.to_list())
+random.Random(42).shuffle(mixed)
+```
+
+## Eval-leak protection
+
+Both configs are scrubbed against [`nrl-ai/vn-diacritic-eval`][eval]
+(business / formal / conversational / literary slices). Audited 2026-04-30
+on the released JSONL files: 0 hits across all 4 splits.
+
+[eval]: https://huggingface.co/datasets/nrl-ai/vn-diacritic-eval
+
+## License posture
+
+Repo-level license is **CC-BY-SA-4.0** (the most restrictive of the
+two configs, applied for safety). Per-config licenses above. If you
+only need the more permissive subset, use `news_150k` (CC-BY-4.0).
+
+## Citation
+
+```bibtex
+@misc{nom_vn_diacritic_train_2026,
+  title={Vietnamese diacritic-restoration training data},
+  author={Nguyen, Viet-Anh and {Neural Research Lab}},
+  year={2026},
+  howpublished={\url{https://huggingface.co/datasets/nrl-ai/vn-diacritic-train}}
+}
+```
+
+Cite upstream:
+
+- [`hirine/wikipedia-vietnamese-1M296K-dataset`](https://huggingface.co/datasets/hirine/wikipedia-vietnamese-1M296K-dataset)
+- [`tmnam20/Vietnamese-News-dedup`](https://huggingface.co/datasets/tmnam20/Vietnamese-News-dedup)

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