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17 Commits

Author SHA1 Message Date
iomgaa a0c7e043e8 fix: validate global frozen pools baseline_run_id + sha256 on load 2026-07-16 05:05:15 -04:00
iomgaa 5bb8319220 feat: tier-aware diag/val split with val-power repair (design 5.1) 2026-07-16 04:58:41 -04:00
iomgaa 6a21d80313 feat: add video-split config knobs and reproducible script 2026-07-15 12:54:25 -04:00
iomgaa aa10485b9f fix: make pools.json freeze atomic + add split manifest 2026-07-15 12:28:48 -04:00
iomgaa fd907aab46 fix: extend correctness fail-fast to test-side pool questions (P5) 2026-07-15 12:22:11 -04:00
iomgaa 20eea98cdd refactor: add video-atomic pool split (algo #5 gate input preserved) 2026-07-15 12:14:36 -04:00
iomgaa bd1f7a22a2 feat(harness): pools.json 序列化 pair 四字段防孤儿 single 
_q_to_dict 写出 pair_id/question_role/flip_axis/unit_id，_dict_to_q 用 .get
兼容旧 workspace 的 pools.json 读回并回填（unit_id 缺省交 __post_init__）。
pools.json 是训练主回路读回题目处，此前漏写会让孪生对解冻后退化成孤儿
single、配对指标失真。categories 块沿用 per-qid 记录，Task 3 的 unit 原子
切分已保证两 pair 成员同池同 key，序列化不破坏该原子性。
 2026-07-15 08:05:15 -04:00
iomgaa d6a3107e4e feat(question_gen): loader 按 unit 分层采样 + load_benchmark 读回 pair 字段 
stratified_sample 先 build_units 聚合，以 QuestionUnit 为采样原子做
分层/去重/补足/rng.sample，返回前 flatten_units 展开为逐题列表；
size/correct_ratio/min_per_class 均按 unit 计数，单元正确性走成员 AND，
孪生对两题永不被劈开。纯 single 输入下 build_units 1:1 折叠、顺序不变，
rng 消耗与旧逐题实现字节级一致（新增回归测试守护）。

_backfill_per_class candidates 改按 unit 枚举去重；build_units/flatten_units
函数内延迟导入以规避 question_gen<->harness 循环依赖（沿用 adversarial_filter）。

load_benchmark 反序列化补 pair_id/question_role/flip_axis/unit_id 四字段，
用 .get 兼容旧 JSON（缺失退化为 single，unit_id 由 __post_init__ 回填）。

pools._sample_excluding 随之改为透传 flatten_units(candidates) 给已单元化的
stratified_sample（不再用 lone pair-original 代表），行为对 single-only 保持等价。
 2026-07-15 06:27:41 -04:00
iomgaa ddb9a44f75 feat(pools): 三池切分以 unit 为原子，孪生对同池不被拆散 
build_pools/_sample_excluding 与 PerCategoryPoolStrategy._split_one_category/
build_incremental 两条切分路径均改为以 QuestionUnit 为采样原子：progressive
exclusion 互斥集合与 train/val 分层划分都按 unit_id 计数（pair 计 1 个 unit），
命中单元整体展开，AR 孪生对两题永不落入不同池/split。

复用 app.harness.question_units 的 build_units/flatten_units，不重写分组逻辑。
single-only 输入下 unit 与 question 一一对应、rng 消耗量不变，采样与划分结果
与逐题口径完全一致；抽出 _unit_correct/_assert_correctness_complete 两个 helper
将 _split_one_category 复杂度压回基线以下。

新增 tests/unit/test_pools_pair_atomic.py 覆盖两条路径的 pair 原子性回归。
 2026-07-15 06:09:14 -04:00
iomgaa 84b52a0311 feat(pools): auto-supplement maintenance correct questions in PerCategoryPoolStrategy 
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-07-14 10:41:46 -04:00
iomgaa 72befa2bd4 feat(pools): add batch_correct_ratio field to PoolConfig 
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-07-14 10:34:28 -04:00
iomgaa dec7346da3 feat(harness): add Action Recognition training experiment 
- PerCategoryPoolStrategy: filter test pool by task_types
- RunConfig: add run_holdout_eval toggle (default true)
- load_config: fix YAML task_types list-to-tuple conversion
- Runner: conditionally skip _holdout_four_way when disabled
- CLI: add --no-run-holdout-eval flag
- New config/train_action_recognition.yaml (3 epochs, per_category)
- New scripts/train_action_recognition.sh (baseline + seed + train)
 2026-07-14 00:58:54 -04:00
iomgaa 37d4519905 chore: lint and format per-category pool strategy implementation 
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-07-12 22:58:10 -04:00
iomgaa c66a00c924 feat(harness): refactor build_or_load_pools to accept PoolStrategy + per_category freeze format 
- save_pools: extended with split_mode and config params; per_category
  mode writes categories metadata (seed, train_ratio, test_source) for
  incremental append and consistency validation
- load_pools: compatible with both old format (no split_mode) and new
  format; extra metadata fields ignored during load
- build_or_load_pools: signature changed to (config, strategy, db_path);
  baseline_run_id read from seed.json (not config.run_id); per_category
  mode does consistency check on reload and supports incremental category
  append via strategy.build_incremental
- Added _to_pool_config, _read_baseline_run_id,
  _validate_per_category_consistency helpers
- Tests: TestPerCategorySaveLoad with 5 test cases covering roundtrip,
  missing config error, global split_mode field, legacy format compat,
  multi-type categories

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-07-12 22:53:19 -04:00
iomgaa 21c6a53aed feat(harness): add PerCategoryPoolStrategy with correctness-stratified 2:1 split 
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-07-12 22:41:48 -04:00
iomgaa 811ffa648b feat(types): extend GeneratedQuestion with skill_target & difficulty_steps 
- Add skill_target (str | None) and difficulty_steps (int | None) fields
  to GeneratedQuestion dataclass with field(default=None)
- Update loader.py to pass new fields from JSON (backward-compatible)
- Update pools.py _q_to_dict/_dict_to_q for serialization compat
- Add question_gen_v2 config section to default.yaml
- Add comprehensive test coverage (7 tests)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-07-11 23:05:38 -04:00
iomgaa 48b423ef35 feat(harness): pools.py — 三池切分（test→validation→diagnosis） 2026-07-07 12:48:54 -04:00