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[Lane 6 · review] tokenizer.json parity — DARC review

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Assessment

Difficulty
4/5
Estimated time
1-2 days
Newbie friendliness
18/100
Issue type
Feature
Clarity
Clearly specified
Activity status
Active
Tech stack
kotlin, python
Domain
machine-learning, testing-qa

Research direction

Read parent issue #1321 and compare each acceptance criterion with the shipped tokenizer code and docs. Regenerate goldens with the pinned tokenizers version using the Lane 4 script, then run the listed Gradle fixture and test tasks and hand-check three cases in Python. Verify the cited semantics and the specified failure behavior, added-token vocabSize, decode fixture, and changelog; report pass or fail on #1321 and update or close #912 as appropriate.

Written by the indexing model from the issue text.

Description

assessment size:s skill:review sub-issue

Sub-issue of #1321 (HF tokenizer.json parity for BPE encoders).

Lane: 6 · Review
Skill needed: DARC review — must not have implemented any Lane 2 or Lane 4 task. Kotlin reading skills and access to a Python environment to re-run the goldens.
Size: s (a few hours)
Blocked by: all Lane 2 and Lane 4 sub-issues merged.

What to do

  1. D — Document. Re-read the parent's problem statement against the shipped code: are the four gaps closed, or did any lane narrow its scope? Record deviations as comments on the parent.
  2. A — Assess. Regenerate the goldens with the pinned tokenizers version (Lane 4 script) and run ./gradlew :skainet-io:skainet-io-core:downloadTokenizerJsonGoldenFixtures :skainet-io:skainet-io-core:jvmTest :skainet-io:skainet-io-core:linuxX64Test. Spot-check three cases by hand with the Python library.
  3. R — Research. Click every link in the parent, the docs page and the PR descriptions; confirm the tokenizers semantics cited (added-token matching, merges form) still hold at the pinned version.
  4. C — Code. Check that unsupported normalizer / pre-tokenizer types fail loudly, that vocabSize includes added tokens, that the #912 decode fixture is present, and that CHANGELOG.md lists the behaviour changes.
  5. Close #912 if its four asks are met, or comment on it with what remains.

Acceptance

  • Written review comment on #1321 with a pass/fail per acceptance criterion of the parent
  • Docs support matrix matches the code
  • #912 closed or updated
  • Result reported back on #1321 (then the parent can be closed)

Notes

@DarcValidated targets TensorOps functions and does not apply to the tokenizer package; the review comment on the parent is the durable record here.

Dominant language
Kotlin
Stars
52
Forks
15
Avg merge
1d 15h
Merged PRs (30d)
36

Getting set up

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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