fix(docs): fix formatting issues in README.md
- adapt meta-/code-/obs- rules to the local Python benchmark pipeline - replace db-sql-ddl, code-config-env-scope, test-e2e-pytest with pipeline equivalents - add code-python-style, data-determinism, data-naming-units, bench-methodology, build-pipeline-tasks - normalize specs and README typography to ASCII per code-data-formatting - rewrite root CLAUDE.md trigger table; add .cursorrules and .gitignore - specs: pipeline plan and task specs 00-11 - rules: 19 binding rule files adapted for this project - docs: CLAUDE.md rule-trigger table - config: .cursorrules commit convention, .gitignore excluding out/ and .venv/ - docs: rewrite README.md with pipeline diagrams, setup guide, result placeholders - config: requirements.txt for the closed dependency list - datagen: make_lab_config.py writes out/config/lab_config.yaml and .done marker
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# Task 11 — Export: JSON
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## Goal
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Two JSON products from the frozen canonical snapshot.
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## Input
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- `canonical/` snapshot, `schema/` (Tasks 09–10).
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## Actions
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1. Write `scripts/export_json.py` (streaming writer; never build the whole document in memory).
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2. **Mega-file** `exports/json/dataset.json`: full hierarchy `data_note → batches → coupons(die) → samples → measurements → points`, plus embedded `data_dictionary` and `instruments`.
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3. **Split set** `exports/json/split/`: directory mirrors the hierarchy; one file per measurement (points inline), plus `index.json` per level.
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4. Each measurement object carries its lineage block `{source_file, mapping_version, schema_version}`.
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## Intermediate Result (done when)
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- Both products written; spot-validation: point counts per measurement match canonical.
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- `exports/json/EXPORT_MANIFEST.json` written (snapshot id, versions, counts).
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