Datasets:
File size: 2,863 Bytes
810f2d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | # 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.
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