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

docs/specs_old/09_cleanse_normalize.md

@@ -0,0 +1,18 @@
+# Task 09 — Cleanse & Normalize → Canonical Dataset
+
+## Goal
+Streamed transformation of all raw CSV into the canonical dataset; anomalies quarantined, lineage recorded.
+
+## Input
+- Mappings (Task 07), schema + instrument ranges (Task 08), `config/anomaly_rules.json`, tokens (Task 03).
+
+## Actions
+1. Write `scripts/cleanse.py` — streaming, constant memory, parallel by file, resumable (checkpoint by inventory offset).
+2. Per file: apply column mapping → coerce dtypes → normalize units → standardize codes (atmosphere, instrument) → resolve hierarchy keys from tokens (natural keys: batch/coupon/sample/run/test/cycle numbers).
+3. Anomaly checks per row: out-of-instrument-range, non-coercible type, missing required, duplicate key, sequence gap (per ordered series), malformed row. Reasons coded per `anomaly_rules.json`.
+4. Clean rows → `canonical/<measurement_type>/…` partitioned files (JSONL or Parquet; partition friction points by test/cycle per Phase-1 volume estimates). Rejected rows → `rejects/<type>.jsonl` with `{source_file, row_offset, reason_code, raw_payload}`.
+5. Lineage per output row: `{source_file_id, row_offset, mapping_version, schema_version}` → compact companion files in `lineage/`.
+
+## Intermediate Result (done when)
+- Every in-scope file processed; row counts reconcile: `source ≈ canonical + rejects` per file.
+- Canonical partitions written; lineage present for every canonical row.