| # JPN-Bench Source Separation |
|
|
| JPN-Bench source material must be kept separate from tokenizer training |
| material. The crawler in this repo assigns whole source files to one lane: |
|
|
| - tokenizer training source files go to `data/source_materials/tokenizer_training_sources.jsonl` |
| - benchmark candidate source files go to `benchmarks/jpn_bench/source_materials/benchmark_sources.jsonl` |
|
|
| When content extraction is enabled, sentence/tree text follows the same split: |
|
|
| - tokenizer training text goes to `data/source_materials/tokenizer_training_text.jsonl` |
| - benchmark candidate text goes to `benchmarks/jpn_bench/source_materials/benchmark_text.jsonl` |
|
|
| The split is deterministic and based on `source + source_file_id`, not on |
| individual sentences. This avoids placing neighboring sentences from the same |
| article or source file into both training and benchmark lanes. |
|
|
| ## Configured Sources |
|
|
| The configured source list lives in `configs/jpn_bench_source_materials.yaml`. |
| Kainoki per-file downloads are cached under |
| `data/raw/source_archives/kainoki/` so repeat crawls do not repeatedly hit the |
| live CGI endpoint. |
|
|
| ### NPCMJ |
|
|
| The NPCMJ source uses the kana bracketed tree archive: |
|
|
| - `https://www2.ninjal.ac.jp/npcmj/zip/npcmj_kana.zip` |
|
|
| NPCMJ is a CC BY 4.0 research corpus. Keep the source file ID, archive URL, and |
| citation metadata with any derived items. |
|
|
| ### Kainoki |
|
|
| The Kainoki source uses the live download index: |
|
|
| - `https://oncoj.orinst.ox.ac.uk/cgi-bin/overview.sh?db=Kainoki&mode=download` |
|
|
| Kainoki is CC BY 4.0 and is updated over time. Treat the index as live source |
| material; record crawl dates in artifacts if publishing a benchmark release. |
|
|
| ## Commands |
|
|
| Build separated source-file manifests: |
|
|
| ```bash |
| uv run jpn-tokenizer crawl-source-materials \ |
| --config configs/jpn_bench_source_materials.yaml |
| ``` |
|
|
| Download the NPCMJ archive and extract/fetch a small content sample: |
|
|
| ```bash |
| uv run jpn-tokenizer crawl-source-materials \ |
| --config configs/jpn_bench_source_materials.yaml \ |
| --fetch-archives \ |
| --fetch-content \ |
| --max-content-files 20 |
| ``` |
|
|
| For a full content crawl, omit `--max-content-files`. Do that deliberately: |
| Kainoki requires hundreds of HTTP requests, so keep the request delay in the |
| config and avoid rerunning full crawls unnecessarily. |
|
|
| ## Rules |
|
|
| - Never train a tokenizer on `benchmarks/jpn_bench/source_materials/`. |
| - Never promote benchmark items from source files assigned to the tokenizer |
| training lane. |
| - When training with these sources, pass released benchmark JSONL files via |
| `--exclude-benchmark`. |
| - Hidden benchmark sources should live outside the public repo and should use |
| the same file-level split rule. |
| - For final benchmark items, prefer rewritten or hand-authored prompts inspired |
| by the source material over raw copied sentences unless the license and |
| benchmark design explicitly allow direct reuse. |
|
|
