NextKey / README.md
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---
language:
- vi
tags:
- vietnamese
- text-restoration
- diacritic-restoration
- spacing-restoration
- nextkey
size_categories:
- 1M<n<10M
---
# NextKey — JDWR v1
A Vietnamese compact-writing restoration dataset for training models that restore diacritics and word boundaries.
## Version
`jdwr-v1` contains **881,251** aligned examples split by compacted target key to prevent overlap between train, development, and in-domain test sets.
| Split | Examples | Domains |
|---|---:|---|
| `train/` | 577,069 | 7 in-domain categories |
| `dev/` | 82,153 | 7 in-domain categories |
| `test/in_domain/` | 82,078 | 7 in-domain categories |
| `test/external/` | 159,951 | `the_thao` external-domain evaluation |
See `manifest.json` for per-domain counts, split policy, and overlap checks.
## Schema
Each JSONL record includes compact input text, a normalized character target, a per-character whitespace-boundary target, and category/domain metadata. The current project training configuration uses the two-head character tagger over these fields.
## Task scope
The dataset targets Vietnamese diacritic and spacing restoration. Brace markers are normalized by removing only the braces while retaining their content. Punctuation and capitalization restoration are out of scope for this version.
## Intended use
Use for research and prototype experiments in Vietnamese compact-writing restoration. Evaluate external-domain generalization with `test/external/the_thao.jsonl`; do not mix it into training.