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AGA-Code Stage B + Stage C Datasets
Procedurally generated, execution-verified training data for AGA-Code
(aga_code.py), built under Guy's no-distillation rule: no teacher traces,
no third-party data — every instance is a procedurally generated original
with correctness established by running the code.
Files
| File | Content |
|---|---|
stage_b.jsonl |
Deep-CoT SFT examples: instruction / think / critique / revise / answer / tests / family / difficulty / seed — consumed by stage_deepcot (<task>/<think>/<critique>/<revise>/<answer> sections) |
stage_c.jsonl |
Problem bank for stage_exec_grounded: instruction / tests / family / difficulty / seed / tier / mutation_score — no reference solutions (training file) |
stage_c_verify.jsonl |
Same rows as stage_c.jsonl plus reference_solution — held out for our own verification, NEVER fed to the model |
manifest_v1.json |
SHA-256s, counts, seed, gate results, per-family distribution, held-out family list, audit summary |
BUILD_LOG.md |
Per-family counts, discard counts and reasons, design decisions, known warts |
audit_report_full.json |
Independent audit re-execution results (pilot: audit_report_pilot.json) |
Construction
- 60 program-generator families (string/list/dict ops, arithmetic,
recursion, sorting/searching, number theory, parsing, simple OOP) with
randomized parameters, 12 think skeletons, 7 grounded bug templates +
clean-critique templates — all seeded with seed 1147 (
MASTER_SEED). - Stage B: each instance runs its reference + auto-generated tests; the answer is kept only if the tests PASS. ~80% of examples pair the reference with a real structurally-built bug (off-by-one, wrong operator, missing return, wrong variable, wrong edge, swapped branch, missing case) and a grounded critique/revise; ~20% are already-correct drafts whose critique explicitly says no bug was found and whose revise is a no-op.
- Stage C: problems are kept only if (a) the tests pass on the reference AND (b) at least one trivial-wrong solution fails the tests AND (c) a mutation score (≥5 mutants, up to 10, killed by the tests) ≥ 0.6. Instructions state the exact signature; examples are embedded worked asserts. Three tiers: easy (5,000 — single-function problems so an 11M model sees non-zero pass rates from the start), standard (3,500 — fresh instances from Stage B families, in-distribution), held_out (1,500 — whole families held out of Stage B, for transfer measurement).
- Held-out families (never in Stage B):
caesar_cipher, run_length_encode, merge_sorted, prime_factors, collatz_steps, quicksort, csv_parse_line, eval_expr, bank_account, matrix_multiply. - Dedup: SHA-256 on
(instruction, answer)for Stage B,(instruction, tests)for Stage C; seed-1147 shuffle; no family > 10%, no instruction phrasing > 5%; no instruction overlap between Stage B and Stage C (checked on normalized text). - Tokenizer note: the build performs no model generation or decoding, so
no tokenizer is used; it is compatible with
aga_code.py >= v0.1.7's fixedTokWrapper(ByteLevel decoder +skip_special_tokens=False).
Generator provenance
- Generator seed: 1147
- Generator script hashes (SHA-256): see
manifest_v1.json(generator_sha256— recorded as run) - All 60 family names: see
manifest_v1.json(all_families)
Scale
- Stage B: 25,000 examples (50 families; 10 held out). Difficulty: medium 12,680 / hard 7,546 / easy 4,774. Clean-critique fraction 20.4%.
- Stage C: 10,000 problems — easy 5,000 / standard 3,500 / held_out 1,500. Mutation score per problem ≥ 0.857 as shipped (gate ≥ 0.6); tier means 0.996 / 0.993 / 0.972.
- Gates: 100% of Stage B answers pass their tests; 100% of Stage C tests pass on references, reject a trivial-wrong solution, and kill ≥ 60% of mutants; B/C instruction overlap 0 after drop + top-up.
- Independent audit (
audit.py): 50/50 shipped answers pass, 50/50 hand-broken versions fail — PASS. SeeBUILD_LOG.mdfor the full story, including the one known coverage wart (fib_recursivein Stage C).