VmaxRL/bugpilot-bugintro-lm-modify-gpt55-repaired-34-cleaned-1k-strict-20260526T212012Z

SWE-Turing LM-Modify GPT-5.5 Strict 1k Provenance

This document describes the generation, validation, cleaning, assembly, and upload for `VmaxRL/bugpilot-bugintro-lm-modify-gpt55-repaired-34-cleaned-1k-strict-20260526T212012Z`.

Final Dataset

• —Dataset: VmaxRL/bugpilot-bugintro-lm-modify-gpt55-repaired-34-cleaned-1k-strict-20260526T212012Z
• —Created: 2026-05-26T21:20:20.354645+00:00
• —Split: train
• —Rows: 1000
• —Allowed reliable universe: VmaxRL/SWEUniverse-Repaired-IndistRLMSubmitGuard-ReliableTests-1K-20260524T115000Z-b9e51770
• —Existing clean seed dataset: VmaxRL/bugpilot-bugintro-lm-modify-gpt55-1k-cleaned-20260522
• —Assembly schema: swe_turing_repaired_lm_modify_1k_assembly_v2_strict_patch_dedupe
• —Final language counts: Go 434, JS 247, Python 283, TS 36
• —Final target shortfall: 0
• —Same-language/category substitutions used: 57

Final readback checks on the uploaded Hugging Face dataset returned 1,000 rows, 34 repos, exact language counts, zero missing introduction_patch, zero missing gold_patch, and zero duplicate strict patch keys.

Code Commit And Runtime Environment

Generation, validation, and cleaning were run on GCP VM codex-bugpilot-runner-20260427-210206 as Linux user augustine_vmax_ai_com.

• —Working tree: /home/augustine_vmax_ai_com/codex-runs/pr2137-targeted-lm-modify-20260525T071745Z
• —Base Demiurge commit used by the runner/cleaner: ece5858df7c3ece87aed961fa06b560254d2f262
• —Runtime reproducibility ref: origin/codex/swe-turing-lm-modify-runtime-20260526 at eefe34955b89ff88664fa854018e74a5e8f49233
• —Runtime tree hash: 6bb476c4a70d4b046635b9ac90051c6913dfabd4
• —Git state during the original run: detached HEAD at ece5858df7c3ece87aed961fa06b560254d2f262 with two uncommitted runtime edits. Those edits were later committed and pushed to origin/codex/swe-turing-lm-modify-runtime-20260526; the pushed commit has the same tree hash as the VM runtime commit (9c441c68c2f2c56969bef38dc5567b644acbd08b).
• —OS/kernel: Debian GNU/Linux 13 trixie, Linux 6.12.86+deb13-cloud-amd64
• —Python: Python 3.13.5
• —uv: uv 0.11.14 (x86_64-unknown-linux-gnu)
• —Docker: Docker version 26.1.5+dfsg1, build a72d7cd

Final strict assembly and upload were run locally from /tmp/swe_turing_repaired_fix/assemble_repaired_lm_modify_1k_strict.py, using the same checked-in target manifest logic and Hugging Face upload APIs. The local worktree at time of documentation was /Users/augustinemavor-parker/.codex/worktrees/9322/demiurge.

Runtime Overrides

SWE-smith generation and validation were run through projects/swe-turing/scripts/run_swesmith_lm_modify_size_matched.py, which imports and applies SWE-smith runtime overrides before generation/validation. The effective runtime used:

• —SWESMITH_DOCKER_ORG=swebench
• —SWESMITH_ASSUME_PUBLIC_MIRRORS=1
• —SWESMITH_AZURE_RESPONSES_BRIDGE=1
• —AZURE_API_VERSION=2025-03-01-preview
• —Azure model id: azure/gpt-5.5-1
• —SWE-smith bug generation config: libs/swe-smith/configs/bug_gen/lm_modify.yml
• —Targeted candidate config: projects/swe-turing/defaults/runtime/swesmith_lm_modify_targeted_candidates.json
• —Runtime adapter reproducibility commit: eefe34955b89ff88664fa854018e74a5e8f49233

The runtime adapter path used the maxwill/dev taskgen-eval-compatible parser and command override code, including Colosseum SWE-smith observer overrides, target command resolution, and test output parser registry integration.

Target Manifest

The final target manifest was built by intersecting the SWE-Turing size-matched manifest with the repaired reliable universe and rescaling the 34 remaining repos to exactly 1,000 rows. The final targets were:

Generation Parameters

All new rows were generated with SWE-smith lm_modify; the prompt was not changed. Targeted candidate selection only changed which extracted code entities were offered to SWE-smith, not the LM prompt.

Common generation/validation parameters:

• —--model azure/gpt-5.5-1
• —--targeted-candidates
• —--n-bugs-per-candidate 1
• —--validation-workers varied by run, listed below
• —ulimit -n 65535 before validation/topups when rerunning high-concurrency validation
• —validation timeout flags were left unset (null), so the runner/runtime defaults applied
• —Docker images were pulled from Docker Hub via SWESMITH_DOCKER_ORG=swebench

Run roots and per-run hyperparameters:

The last four runs were Effect-only topups used to fill the final TypeScript shortfall after strict deduplication. Some generation attempts stalled in SWE-smith with an existing _temp_patch_swesmith.diff; for those runs, partial SWE-smith bug-generation logs were collected with swe_smith_extra.runtime swesmith.bug_gen.collect_patches, then validated with --skip-generation --redo-validation to avoid re-paying for generation.

Representative generation command shape:

cd /home/augustine_vmax_ai_com/codex-runs/pr2137-targeted-lm-modify-20260525T071745Z
export SWESMITH_DOCKER_ORG=swebench
export SWESMITH_ASSUME_PUBLIC_MIRRORS=1
export SWESMITH_AZURE_RESPONSES_BRIDGE=1
export AZURE_API_VERSION=2025-03-01-preview
ulimit -n 65535 || true
/home/augustine_vmax_ai_com/.local/bin/uv run --project libs/swe-smith \
  --extra generate --extra validate \
  --with datasets --with huggingface_hub --with msgspec --with docker \
  --with python-dotenv --with litellm --with openai \
  python projects/swe-turing/scripts/run_swesmith_lm_modify_size_matched.py \
  --manifest <target_or_topup_manifest.tsv> \
  --out-root <run_root>/generation \
  --model azure/gpt-5.5-1 \
  --count <target_count> \
  --expected-repo-count <repo_count> \
  --targeted-candidates \
  --generation-multiplier <multiplier> \
  --repo-workers <repo_workers> \
  --gen-workers <gen_workers> \
  --validation-workers <validation_workers> \
  --allow-shortfall

Representative validation-only rerun shape for partial collected candidates:

/home/augustine_vmax_ai_com/.local/bin/uv run --project libs/swe-smith \
  --extra generate --extra validate \
  --with datasets --with huggingface_hub --with msgspec --with docker \
  --with python-dotenv --with litellm --with openai \
  python projects/swe-turing/scripts/run_swesmith_lm_modify_size_matched.py \
  --manifest <topup_manifest.tsv> \
  --out-root <run_root>/generation \
  --model azure/gpt-5.5-1 \
  --count <target_count> \
  --expected-repo-count 1 \
  --targeted-candidates \
  --generation-multiplier <multiplier> \
  --repo-workers 1 \
  --gen-workers <gen_workers> \
  --validation-workers 32 \
  --skip-generation \
  --redo-validation \
  --allow-shortfall

Cleaning Parameters

Newly validated rows were cleaned with projects/swe-turing/scripts/clean_patch_derived_with_reliable_universe.py, usually through /tmp/swe_turing_repaired_1k_20260525/run_clean_selected_local.py.

Common cleaner settings:

• —Reliable tests dataset: VmaxRL/SWEUniverse-SizeMatched-45-ReliableTests-20260522
• —Reliable tests split: train
• —Docker backend: DockerCollectionBackend
• —Timeout: 600 seconds
• —Snapshot interval: 15 seconds
• —Generator id: default bugpilot
• —Resume: not used for the final per-run cleaning invocations unless a wrapper had already completed rows
• —Max concurrency: run-specific, table above (24, 32, 48, or 16)
• —Acceptance requires the cleaned patch-derived row to pass the reliable-universe intersection logic in clean_patch_derived_with_reliable_universe.py and produce a training row via build_swe_fix_training_row.

Representative cleaner command:

cd /home/augustine_vmax_ai_com/codex-runs/pr2137-targeted-lm-modify-20260525T071745Z
export HF_TOKEN=$(cat /home/augustine_vmax_ai_com/.hf_token_codex_runs)
export HUGGING_FACE_HUB_TOKEN=$HF_TOKEN
export SWESMITH_DOCKER_ORG=swebench
export SWESMITH_ASSUME_PUBLIC_MIRRORS=1
/home/augustine_vmax_ai_com/.local/bin/uv run --project libs/swe-smith \
  --extra generate --extra validate \
  --with datasets --with huggingface_hub --with msgspec --with docker --with python-dotenv \
  python /tmp/swe_turing_repaired_1k_20260525/run_clean_selected_local.py \
  --repo-root /home/augustine_vmax_ai_com/codex-runs/pr2137-targeted-lm-modify-20260525T071745Z \
  --selected-json <run_root>/generation/patches/size_matched_lm_modify_validated_selected.json \
  --out-root <run_root>/clean \
  --reliable-tests-dataset VmaxRL/SWEUniverse-SizeMatched-45-ReliableTests-20260522 \
  --max-concurrency <clean_workers>

Final Assembly And Deduplication

The final strict dataset was assembled from:

• —VmaxRL/bugpilot-bugintro-lm-modify-gpt55-1k-cleaned-20260522: input 646, unique kept 573, duplicate skipped 0
• —current_uploaded_selected: input 1000, unique kept 403, duplicate skipped 597
• —repaired_round1_clean: input 220, unique kept 0, duplicate skipped 220
• —repaired_round2_clean: input 45, unique kept 0, duplicate skipped 45
• —repaired_round3_clean: input 97, unique kept 36, duplicate skipped 61
• —repaired_round4_clean: input 92, unique kept 44, duplicate skipped 48
• —repaired_round5_effect_clean: input 11, unique kept 4, duplicate skipped 7
• —repaired_round6_effect_clean: input 6, unique kept 2, duplicate skipped 4
• —repaired_round7_effect_clean: input 4, unique kept 1, duplicate skipped 3
• —repaired_round8_effect_clean: input 3, unique kept 2, duplicate skipped 1

Strict assembly rules:

• —Allowed repos were only the 34 repos present in the repaired reliable universe.
• —Rows outside the allowed 34 repos were filtered.
• —Rows with empty introduction_patch were rejected.
• —Empty gold_patch values were filled from introduction_patch; this happened for 573 existing-clean rows and 610 current-uploaded rows.
• —Duplicate rows were removed using SHA-256 over lower(repo) + base_commit[:12] + introduction_patch.
• —Exact repo targets were filled first.
• —If a repo was short after exact fill, only same-language and same-category surplus rows from the 34 allowed repos were used as substitutions.

Final source repo row counts after same-language/category substitution:

• —Automattic/mongoose: 30
• —Cog-Creators/Red-DiscordBot: 36
• —Effect-TS/effect: 36
• —Workiva/go-datastructures: 25
• —advplyr/audiobookshelf: 50
• —ariga/atlas: 37
• —arp242/goatcounter: 26
• —blevesearch/bleve: 50
• —bootstrap-vue/bootstrap-vue: 38
• —bytedance/sonic: 25
• —caddyserver/caddy: 11
• —dask/dask: 29
• —denisenkom/go-mssqldb: 21
• —doug-martin/goqu: 25
• —fatedier/frp: 28
• —getmoto/moto: 28
• —getnikola/nikola: 27
• —joke2k/faker: 33
• —josdejong/mathjs: 25
• —krotik/eliasdb: 46
• —labstack/echo: 26
• —ledisdb/ledisdb: 36
• —mgechev/revive: 26
• —nalgeon/redka: 25
• —necolas/react-native-web: 16
• —nightwatchjs/nightwatch: 29
• —pandas-dev/pandas: 25
• —pygments/pygments: 28
• —pylint-dev/astroid: 28
• —python-trio/trio: 28
• —segmentio/evergreen: 29
• —skeema/skeema: 27
• —sunpy/sunpy: 21
• —sveltejs/svelte: 30

Final assembly command:

python3 /tmp/swe_turing_repaired_fix/assemble_repaired_lm_modify_1k_strict.py \
  --target-manifest /tmp/swe_turing_repaired_fix/target_manifest_from_uploaded_audit.tsv \
  --out-root /tmp/swe_turing_repaired_fix/upload_20260526T212012Z \
  --push-to-hub VmaxRL/bugpilot-bugintro-lm-modify-gpt55-repaired-34-cleaned-1k-strict-20260526T212012Z \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/current_selected.jsonl --source-name current_uploaded_selected \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/final_sources/round1_clean_accepted.jsonl --source-name repaired_round1_clean \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/final_sources/round2_clean_accepted.jsonl --source-name repaired_round2_clean \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/final_sources/round3_clean_accepted.jsonl --source-name repaired_round3_clean \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/final_sources/round4_clean_accepted.jsonl --source-name repaired_round4_clean \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/final_sources/round5_effect_clean_accepted.jsonl --source-name repaired_round5_effect_clean \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/final_sources/round6_effect_clean_accepted.jsonl --source-name repaired_round6_effect_clean \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/final_sources/round7_effect_clean_accepted.jsonl --source-name repaired_round7_effect_clean \
  --local-clean-jsonl /tmp/swe_turing_repaired_fix/final_sources/round8_effect_clean_accepted.jsonl --source-name repaired_round8_effect_clean

Final Verification

The uploaded Hugging Face dataset was loaded back with datasets.load_dataset(..., split="train") and checked for:

• —rows == 1000
• —language distribution exactly {"go": 434, "js": 247, "python": 283, "ts": 36}
• —Effect-TS/effect == 36
• —34 repos total
• —zero missing introduction_patch
• —zero missing gold_patch
• —zero duplicate strict patch keys using (repo, base_commit[:12], introduction_patch)

Uploaded audit files:

• —metadata/summary.json
• —metadata/distribution_audit.tsv
• —metadata/selected.jsonl