Prepare NL2Bash v2 with 938 tasks solved by Coder pass@4

nl2bash_v2/README.md

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+# NL2Bash v2
+
+## Dataset stats
+
+**1,497 original tasks; 938 kept; 559 archived; 0 payloads changed from v1; 0 pending attempts.** Evaluated all **1,425 v1 tasks** with **5,700 recorded attempts** and **5,700 saved conversations**, including **2,911 successful attempts**. Images: **1 before, 1 now**.
+
+Based on [nl2bash_v1](https://huggingface.co/datasets/FWeindel/validated-tasks/tree/3abfc63260ef8ab59ac61274450310f650585bc9/nl2bash_v1) at revision `3abfc63260ef8ab59ac61274450310f650585bc9`. The 559 archived tasks comprise 72 earlier v1 exclusions and 487 tasks with no successful Coder attempt.
+
+## Dataset characteristics and changes from v1
+
+[NL2Bash](https://arxiv.org/abs/1802.08979) tasks from [TaskTrove](https://huggingface.co/datasets/open-thoughts/TaskTrove) `nl2bash` at revision `946884702046be1a7dcea2638186ad6b0d2ea103`.
+
+<details><summary>Domains</summary>
+
+**File Operations:** locate, filter, count, sort or copy files in a seeded `/workspace` with find, grep, xargs, du, sort and cp, then capture the command's output in `/output/command_capture.txt`. **System Administration:** compose shell one-liners with coreutils, variables, redirection and pipelines in an Ubuntu container.
+
+</details>
+<details><summary>Capabilities</summary>
+
+**Specification Adherence:** each request stacks precise details (depth limit, case-insensitivity, regular files only, numeric sort, capturing both stdout and stderr), and the verifier compares the output lines with the reference command's output, so dropping one detail fails the task. Labels follow [CLI-Universe](https://arxiv.org/abs/2606.22883v1).
+
+</details>
+
+Intended benchmark transfer: **Terminal-Bench 2.0, OpenThoughts-TBLite 2.0 and Harbor-Index**, through translating requests into correct shell pipelines in a Harbor-style container.
+
+Kept 938 tasks solved at least once in four attempts. Task payloads and the pinned v1 image are unchanged. Archived 487 tasks with zero observed successes under this evaluation, preserving their payloads and attempt evidence. Earlier archive reasons are preserved for all 72 v1 exclusions.
+
+The v1 release documents build/setup, reference-solution, no-op and rule-based validation. Its Git-history and timestamp leak checks were not run. This release filters by teacher results and does not establish completion of those outstanding validation checks.
+
+## Evaluation setup and coverage
+
+| Setting | Value |
+| --- | --- |
+| Teacher | Qwen/Qwen3-Coder-30B-A3B-Instruct |
+| Agent | Terminus 2 |
+| Coverage | 1,425 tasks, four attempts each, 5,700 total |
+| Sampling | Temperature 0.7; top-p 0.8; top-k 20; repetition penalty 1.05 |
+| Token budgets | 32,768 context; 8,192 maximum output per call |
+| Serving | One H200 per shard; eight concurrent trials; 32 CPUs, including four serving CPUs |
+| Evidence | 61 complete stage-6 reports and 61 complete stage-7 reports, including the disjoint eight-task pilot |
+
+The 938 kept tasks each declare a 600-second agent timeout and a 600-second verifier timeout. [Frozen contracts and provenance](metadata/provenance.json) record model revision, execution settings, task hashes and input evidence. Only the replacement pilot and full-array results are included.
+
+## Pass rates and success distribution
+
+All rates cover the full 1,425-task evaluated set, before filtering. Higher-k values use the saved four-attempt samples.
+
+| Metric | Rate |
+| --- | ---: |
+| pass@1 | 51.07% |
+| pass@2 | 59.79% |
+| pass@3 | 63.65% |
+| pass@4 | 65.82% |
+
+| Successful attempts out of four | Tasks |
+| ---: | ---: |
+| 0 | 487 |
+| 1 | 124 |
+| 2 | 144 |
+| 3 | 181 |
+| 4 | 489 |
+
+Observed reward groups: 489 always solved, 487 always zero, and 449 varying. These describe the recorded samples, not intrinsic task difficulty.
+
+![Pass rates](plots/pass-rates.png)
+
+![Successful attempts per task](plots/solved-counts.png)
+
+## Trajectories and trace endings
+
+All 5,700 saved conversations are included in [traces/coder.parquet](traces/coder.parquet), with original result records, task and attempt IDs, raw verifier rewards, effective rewards and the `retained_v2` flag. No conversations were filtered out of this evidence export. Of these, 2,911 attempts received verifier reward 1.
+
+There are 5,699 verifier grades and one ungraded terminal `TmuxSessionEndedError`. Following the recorded `terminal-errors-zero-v2` policy, its effective reward is zero; its raw `verifier_reward` stays null. Its task has no success in the other three attempts and is archived. No absent attempts were filled in.
+
+Trace endings: 4,249 task-complete and 1,451 tmux-session-closed. Session closure and grading are separate: 1,450 of those closures still have a verifier grade. Stage 7 completed for all tasks; presence of a conversation is not an additional training-quality acceptance claim.
+
+![Trace outcomes](trace_stats/plots/all-models-trace-outcomes.png)
+
+## Runtime, tokens and resources
+
+| Measurement | Attempts measured | Median | Maximum |
+| --- | ---: | ---: | ---: |
+| Agent turns | 5,700 | 11 | 497 |
+| Input tokens per attempt | 5,700 | 25,332 | 6,915,919 |
+| Output tokens per attempt | 5,700 | 1,529 | 54,555 |
+| Largest recorded turn, input plus output tokens | 5,700 | 3,625 | 35,245 |
+| Agent time, seconds | 5,700 | 17.31 | 554.40 |
+| Verifier time, seconds | 5,699 | 5.87 | 12.47 |
+| Trial time, seconds | 5,700 | 31.71 | 568.58 |
+
+Input and output totals sum model calls within each attempt. Recorded input-plus-output turn size is a trace measurement, not a configured serving context limit. Per-task peak memory is not reported here.
+
+![Trace distributions](trace_stats/plots/all-models-trace-distributions.png)
+
+See [trajectory statistics](trace_stats/README.md) for distributions, command counts, error categories and machine-readable per-attempt metrics.
+
+## Files and selection
+
+- [tasks.parquet](tasks.parquet): the 938 tasks solved at least once, with `coder_successes`, `coder_attempts` and `coder_graded_attempts` columns.
+- [archive.parquet](archive.parquet): 559 excluded tasks, preserving earlier exclusion reasons. The 72 earlier exclusions have null Coder counts because they were not evaluated.
+- [selection evidence](metadata/selection.json): per-task success counts and raw attempt grades.
+- [trace manifest](traces/manifest.json): trace coverage, reward policy and file checksum.
+- [patch.py](patch.py): reproduces the kept task file from the pinned v1 source and saved selection.
+
+The task Parquet preserves pinned references to the existing v1 image bundle; no image rebuild is needed for this selection.

nl2bash_v2/archive.parquet

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nl2bash_v2/metadata/full-contract.json

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+{
+  "schema_version": 3,
+  "stage_layout": "environment-first-v2",
+  "created_at": "2026-10-18T19:38:35.293272+00:00",
+  "dataset": {
+    "source": "FWeindel/validated-tasks/nl2bash_v1",
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+      "order": "lexicographic IDs for ranges; otherwise sorted Parquet paths then row order, or sorted task directories",
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+    "attempts": 4,
+    "static_checks": [],
+    "static_checks_by_stage": {},
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+      "check-task-changelog.sh": "training tasks do not require Terminal-Bench PR changelogs",
+      "check-test-sh-sanity.sh": "training permits shared system Python and image-installed verifier dependencies; uv is not required, and stages 3/3 check execution",
+      "check-separate-verifier.sh": "training permits grading in the agent environment, including installed packages and changed system state; separate verification is optional",
+      "check-allow-internet.sh": "network policy is declared by the task and checked at runtime",
+      "check-no-allow-internet-true.sh": "explicit task network policies are allowed",
+      "check-pytest-version.sh": "training tasks may use other pinned pytest/CTRF versions",
+      "check-gpu-types.sh": "Modal GPU naming conventions do not apply to the Helma execution profile",
+      "check-canary.sh": "training tasks do not require a benchmark canary string",
+      "check-instruction-headings.sh": "Markdown headings are allowed in training instructions",
+      "check-task-fields.sh": "training tasks do not require TB author GitHub metadata, taxonomy or explanation sections",
+      "check-task-package-name.sh": "training task package names need not use the terminal-bench namespace",
+      "check-task-slug.sh": "training task names may contain more than three hyphen-separated tokens",
+      "rubric_review.py": "LLM rubric review is opt-in via stage 5, never a default static check"
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+    "submission_host": "helma2",
+    "network": "isolated",
+    "network_guarantee": "isolation requested; existing bridge may fall back to host network; offline isolation is NOT established",
+    "privileges": "fakeroot requested, host UID unprivileged; bridge may fall back without fakeroot",
+    "mount_policy": "per-trial workdir, tests, logs, home and tmp; site hostfs/bind-paths/cwd disabled; baked verifier tests preserved; explicit read-only host DNS bind only in host network mode",
+    "profile_scope": "declared bridge policy including stated fallbacks; does not certify offline or rootless behavior",
+    "dependency_policy": "execute shipped Dockerfiles; mutable tags and unpinned installs are not rewritten; reuse content-keyed image cache unless force_build; installed agents may download dependencies",
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nl2bash_v2/metadata/pilot-contract.json

@@ -0,0 +1,1862 @@
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+    "validation/rubrics/scripts/summarize_experiments.py": "3857c3fdac87e35f7fb17be1d17f5f744f1f10591958ed86c2d36ad67862872e",
+    "validation/rubrics/scripts/watch_model.py": "ddd28749118ce12826d9105520904a3806491fce2efe9976a186f9e48454880d",
+    "validation/run.py": "e084e08526b43dc1779e1a501efe8d8d13bcc4cdd9e619068bda0c3b7138b769",
+    "validation/shards.py": "8f4fc6e20f2f6495741789566377069c29983da61871ff82e1caba0293270dd2",
+    "validation/stages/__init__.py": "8d31f873e5fa008a5e522a7c0af3873e0f291a8f0ae1745c7760eaceb160bf35",
+    "validation/stages/build_retries.py": "1cfaf813934a33e619a25be6209d91b5058894f74d003de2451fba1bf9600f1a",
+    "validation/stages/container_reuse.py": "54407f74fff9ebcbcb6835993d572a37537c41a35190fdb9ccb54889b5c68151",
+    "validation/stages/environment_preflight.py": "2496cf77425024885a531ea94b7ace50296be2ed5b42ba2b4e96f361b6d135eb",
+    "validation/stages/execution_evidence.py": "ab9b5fc69558568c48431852a5e9b4360300e87d6f2a6196202d859026fed9d6",
+    "validation/stages/harbor.py": "4fa4118d6f3837b661e457fcd6cbf747043f6cb179204bdb7610dcd00a4f1bb2",
+    "validation/stages/harden_entry.py": "a49fc58f18dd8fee9af91c239ccf293e15c27f0f3d14294e49865e84920fe746",
+    "validation/stages/image_inspector.py": "ec4dbdd73824d1ad7542ddbb3dd20593372b308248c7e81a5c44c207c634519f",
+    "validation/stages/image_review.py": "3ed00588cb6fb3edc327bbfe75214d3fd46825c6fde64d797e64974fc2a69c52",
+    "validation/stages/layout.py": "d1966f09641f078aa3ea99b8f6273b61bdab15848619047fc80d7e6d223da38f",
+    "validation/stages/normalize_paths.py": "8ca4a35ac1694d96a947c36fdb1dce24f9efedb4153363b405b23c3db5f27ac9",
+    "validation/stages/outcome_retries.py": "dcf437c82e8648d1125872ab30bcfaf40181e986c166209360a32072f14265c0",
+    "validation/stages/path_diagnostics.py": "1da02f7eee2b9da74476f7d8e5c46bc6cf23b760d87be519e8c1c82fb9b92ba2",
+    "validation/stages/prepare_review_tasks.py": "ebd42a2ea642402ba78ce798de986b43a3804d66104c462de55b2f368a772d58",
+    "validation/stages/run_reused_containers.py": "a33b6e9fdc75b046b533418c138e6dd00720cf9bb34ee85df2baef62952b717b",
+    "validation/stages/runner.py": "0285d93dd1fc07df221ed325d240b102d2ea7c3fa72c2f367bef15135e2b673e",
+    "validation/stages/service_entrypoint.py": "e328bb86ee3f49a2f3a5d4043d04cb4bc22403417cc07681c18d22d78220bd2f",
+    "validation/stages/task_setup.py": "153cd0e50b8594bbb09edb0a91a143c6c283d3bc18b95086a292a40deaa16036",
+    "validation/stages/verifier_setup.py": "15d4210d116426db9bb178f6c5c93b20aacc47d26d4dd564594b11d8cb9fa70e",
+    "validation/upstream/__init__.py": "31f6f89e99cd288755413fc80aeb983b9dcde796a2624d80b6cd2c07315a86c9",
+    "validation/upstream/__main__.py": "fb76f9492685add6774fdf9faf6ee0cffcd78c5860727b5c671351429b484194",
+    "validation/upstream/terminal_bench/scripts/checks/check_ai_detection.py": "3cdcdc9229f9be6d2d7025fb179295be2039a76a9cac2b89228a85197f15d9cb"
+  },
+  "arguments": {
+    "tasks": "/hnvme/workspace/y500bb12-optiagent/coder-pass4-20261018/nl2bash/pilot-tasks.parquet",
+    "pack_image_cache": false,
+    "fix_instruction_paths": false,
+    "fix_pip_pins": false,
+    "path_resolution_report": [],
+    "fix_repository_leaks": true,
+    "fix_instruction_suffix": false,
+    "dataset_source": "FWeindel/validated-tasks/nl2bash_v1",
+    "dataset_revision": "3abfc63260ef8ab59ac61274450310f650585bc9",
+    "min_tasks": 8,
+    "out": "/hnvme/workspace/y500bb12-optiagent/coder-pass4-20261018/nl2bash/pilot/results",
+    "backend": "apptainer",
+    "environment_kwargs": {},
+    "agent": "terminus-2",
+    "review_evidence": "image",
+    "review_max_budget_usd": 5,
+    "review_reasoning_effort": "medium",
+    "review_agent": null,
+    "model": null,
+    "review_model": null,
+    "review_pricing": null,
+    "review_rubric": "terminal-bench",
+    "review_criteria": null,
+    "review_local": false,
+    "analysis_agent": null,
+    "analysis_model": null,
+    "agent_kwargs": {},
+    "attempts": 4,
+    "outcome_retries": 3,
+    "expected_outcomes": null,
+    "review_setup": null,
+    "preparation_runs": 1,
+    "preparation_mean_target_seconds": null,
+    "preparation_median_target_seconds": null,
+    "preparation_max_seconds": null,
+    "concurrency": 8,
+    "static_concurrency": null,
+    "reuse_stage3": null,
+    "static_resume": null,
+    "static_resume_accept_previous_path_check": false,
+    "reuse_validation_containers": false,
+    "container_start_concurrency": 8,
+    "image_build_memory_mb": 8192,
+    "image_build_cpus": 4,
+    "image_build_concurrency": 2,
+    "image_build_timeout_sec": 3600,
+    "prebuild_only": false,
+    "dependency_archives": null,
+    "dependency_layout": null,
+    "container_start_interval": 0,
+    "limit": null,
+    "task_id_range": null,
+    "static_profile": "training",
+    "resolve_path_root": [],
+    "exclude": [],
+    "submit": "helma",
+    "time": "08:00:00",
+    "partition": "h200",
+    "cpus": 32,
+    "gpus": 1,
+    "memory": null,
+    "trial_cpus": null,
+    "trial_memory_mb": null,
+    "serve_model": "coder-30b",
+    "serve_weights": "/hnvme/workspace/y500bb12-models/Qwen3-Coder-30B-A3B-Instruct",
+    "serve_context": 32768,
+    "serve_replicas": 1,
+    "serve_cpus": 4,
+    "serve_memory_mb": 32768,
+    "max_num_seqs": 16,
+    "api_base": null,
+    "network_mode": "isolated",
+    "reward_key": "reward",
+    "trials": null,
+    "max_iterations": 10,
+    "timeout_minutes": 120,
+    "publish_repo": null,
+    "publish_require_complete": false,
+    "publish_folder": [],
+    "publish_readme": false,
+    "publish_readme_force": false,
+    "publish_readme_model": "claude-fable-5-1",
+    "publish_readme_seed": 0,
+    "publish_readme_evidence": [],
+    "publish_analysis": false,
+    "publish_patch_manifest": [],
+    "publish_conversion_archive": [],
+    "force_build": false,
+    "dry_run": false
+  },
+  "task_manifest": {
+    "path": "contract.tasks.json",
+    "count": 8,
+    "sha256": "b6ec96116dee2784cd01096cdd36eef5ea518eea5fec96076bff8e61dfc8846d"
+  },
+  "sha256": "74167531b6d3a4d4eee1d2dab5ecfc1a45b5c318444de00040bc64d9e8b043f5"
+}

nl2bash_v2/metadata/pilot-contract.tasks.json

@@ -0,0 +1,34 @@
+[
+  {
+    "task_id": "task_0",
+    "sha256": "99dbf3f7c13c106e0614b213918874edf22f25afe805a3657524ede7776279a5"
+  },
+  {
+    "task_id": "task_2151",
+    "sha256": "1a2b64a60329cb926189e6e33c4d6ec13511cee084fd1b6e3a2ef6faaabeacb1"
+  },
+  {
+    "task_id": "task_3157",
+    "sha256": "5f40adca3619c8faf521e11391c9ff33f6b64b3b4d53933297bb8f5b606da2ac"
+  },
+  {
+    "task_id": "task_4376",
+    "sha256": "1ba1c95391ea2b6eb3a37760d010274867e4770b1120be314c64ad15981392b2"
+  },
+  {
+    "task_id": "task_5707",
+    "sha256": "5c547f21c4bc2b6aec9b4249a15f359121e38e0ed0f67091d72dee14f7da34a1"
+  },
+  {
+    "task_id": "task_6827",
+    "sha256": "04057249ae0a56f681d9995f86c52f1e91ecdf3e422a35f44dcf8a61e3578e66"
+  },
+  {
+    "task_id": "task_7934",
+    "sha256": "8bcd34e6b5484b7a7323c235fd32792066818f6ebce9926e8efe78f50e157504"
+  },
+  {
+    "task_id": "task_8959",
+    "sha256": "463b82316c185265af5e6f2604d286518fb2c96a3dd15db3ab2c2807496722a0"
+  }
+]

nl2bash_v2/metadata/verification.json

@@ -0,0 +1,20 @@
+{
+  "verified": true,
+  "kept": 938,
+  "archive": 559,
+  "attempts": 5700,
+  "raw_ungraded": 1,
+  "successful_attempts": 2911,
+  "source_payloads_unchanged": true,
+  "original_failed_jobs_excluded": true,
+  "image_refs_verified": [
+    "nl2bash_v1/cached_images/bundles-v1/c94c4b65e24c2b159206fac0ca5be178525dbd3488197f5eddbcc43624d75ada/build_task_0-b5d51593ca60.sif/build_task_0-b5d51593ca60.sif"
+  ],
+  "task_timeouts": [
+    {
+      "agent_seconds": 600.0,
+      "verifier_seconds": 600.0,
+      "kept_tasks": 938
+    }
+  ]
+}

nl2bash_v2/patch.py

@@ -0,0 +1,22 @@
+"""Reproduce tasks.parquet from the pinned v1 source and saved success selection."""
+import argparse,json
+from pathlib import Path
+import pyarrow as pa
+import pyarrow.parquet as pq
+from huggingface_hub import hf_hub_download
+
+def main():
+ p=argparse.ArgumentParser(description=__doc__);p.add_argument('--out',type=Path,default=Path('tasks.parquet'));a=p.parse_args()
+ selection=json.loads((Path(__file__).parent/'metadata/selection.json').read_text())
+ source=hf_hub_download('FWeindel/validated-tasks','nl2bash_v1/tasks.parquet',repo_type='dataset',revision=selection['base_revision'])
+ table=pq.read_table(source);rows=[]
+ for r in table.to_pylist():
+  s=selection['tasks'][r['path']];assert r['content_sha256']==s['content_sha256']
+  if s['kept']:
+   r.update(coder_successes=s['coder_successes'],coder_attempts=4,coder_graded_attempts=sum(v is not None for v in s['attempts'].values()));rows.append(r)
+ meta=dict(table.schema.metadata);images=json.loads(meta[b'ot.images.v1']);kept={r['path'] for r in rows};images['tasks']={k:v for k,v in images['tasks'].items() if k in kept};used={e['bundle'] for t in images['tasks'].values() for e in t['environments']};images['bundles']={k:v for k,v in images['bundles'].items() if k in used};meta[b'ot.images.v1']=json.dumps(images).encode()
+ schema=table.schema
+ for k in ['coder_successes','coder_attempts','coder_graded_attempts']:schema=schema.append(pa.field(k,pa.int64()))
+ pq.write_table(pa.Table.from_pylist(rows,schema=schema).replace_schema_metadata(meta),a.out,compression='zstd')
+ print(f'{len(rows)} kept tasks -> {a.out}')
+if __name__=='__main__':main()

nl2bash_v2/tasks.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6162c6c7ad23e7a5373c7b0ccec9f8acfee25dee0ef624b42c6bf22ef7972a8f
+size 1192794

nl2bash_v2/trace_stats/README.md

@@ -0,0 +1,34 @@
+# Trajectory statistics
+
+5,700 attempts across 1,425 tasks of publication, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
+
+| Metric | qwen3-coder-30b-a3b-instruct |
+| --- | ---: |
+| Recorded attempts | 5,700 |
+| Median agent turns | 11 |
+| Median input tokens per attempt | 25,332 |
+| Median output tokens per attempt | 1,529 |
+| Median agent runtime (seconds) | 17 |
+| Median verifier runtime (seconds) | 6 |
+
+Medians use recorded measurements only.
+
+## Plots
+
+![Trace measurements](plots/all-models-trace-distributions.png)
+
+![Trace outcomes](plots/all-models-trace-outcomes.png)
+
+![Most frequent commands](plots/all-models-trace-commands.png)
+
+Commands are counted as submitted, not as successful executions.
+
+Per-model plots: [qwen3-coder-30b-a3b-instruct](plots/qwen3-coder-30b-a3b-instruct-trace-commands.png), [qwen3-coder-30b-a3b-instruct](plots/qwen3-coder-30b-a3b-instruct-trace-distributions.png), [qwen3-coder-30b-a3b-instruct](plots/qwen3-coder-30b-a3b-instruct-trace-outcomes.png).
+
+## Data
+
+- [Summary](data/summary.json): overall and per-model statistics.
+- [Per-task metrics](data/per_task.parquet) and [per-attempt metrics](data/per_attempt.parquet), with nested metrics stored as JSON.
+- [Provenance](data/provenance.json): source files and deduplication.
+
+Attempts without a saved conversation: 0; without a verifier reward: 1. Their missing measurements stay empty.

nl2bash_v2/trace_stats/data/per_attempt.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62652b5c9dda85138d54f8653f55006d7fc0e2d4f3a2d8a1f446da77e536e16f
+size 812495

nl2bash_v2/trace_stats/data/per_task.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:906b51d28a09980e955217a33b3e445fc12fb1402b3af6253c26bf4e511d73d6
+size 521520

nl2bash_v2/trace_stats/data/provenance.json

@@ -0,0 +1,33 @@
+{
+ "deduplication_key": [
+  "model",
+  "task_id",
+  "attempt_id"
+ ],
+ "sources": [
+  {
+   "file": "traces/coder.parquet",
+   "rows": 5700,
+   "unique_rows_added": 5700,
+   "sha256": "5f6e9f804e4a1667767f64c580f6ef87338e9c864fe2d07fb9f98dedef36620e"
+  }
+ ],
+ "figures": {
+  "all-models": {
+   "trace_distributions": "plots/all-models-trace-distributions.png",
+   "trace_outcomes": "plots/all-models-trace-outcomes.png",
+   "trace_commands": "plots/all-models-trace-commands.png"
+  },
+  "qwen3-coder-30b-a3b-instruct": {
+   "trace_distributions": "plots/qwen3-coder-30b-a3b-instruct-trace-distributions.png",
+   "trace_outcomes": "plots/qwen3-coder-30b-a3b-instruct-trace-outcomes.png",
+   "trace_commands": "plots/qwen3-coder-30b-a3b-instruct-trace-commands.png"
+  }
+ },
+ "metric_implementation_sha256": "ffa2ef63f6c84b193cd50503ece64f6819abc82b894c041ae9c7fb601ef33fe1",
+ "outcome_implementation_sha256": "570e8bdb6930588cb87b9f3728518cae549fd20da595808a2ecef7fed75dddc0",
+ "plotting": {
+  "implementation_sha256": "3e3bdc00f8b2100de4f96bdb48ce6fd87eff518a6bb380f9b07c3da352ad7db6"
+ },
+ "outcome_policy": "exclusive-outcomes-v1"
+}

nl2bash_v2/trace_stats/data/summary.json

@@ -0,0 +1,1025 @@
+{
+ "scope": "All attempts in the published trace Parquets of this folder.",
+ "created_at": "2026-10-20T18:52:49.720793+00:00",
+ "input_rows": 5700,
+ "duplicate_records_removed": 0,
+ "unique_attempts": 5700,
+ "unique_tasks": 1425,
+ "missing_trajectories": 0,
+ "null_verifier_rewards": 1,
+ "all_attempts": {
+  "trajectories": 5700,
+  "graded": 5700,
+  "solved": 2911,
+  "turns": {
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+   "mean": 14.151052631578947,
+   "median": 11,
+   "p90": 18,
+   "p95": 23,
+   "max": 497
+  },
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+   "mean": 57837.33596491228,
+   "median": 25332,
+   "p90": 60036,
+   "p95": 91465,
+   "max": 6915919
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+  "output_tokens": {
+   "n": 5700,
+   "mean": 1989.018596491228,
+   "median": 1529,
+   "p90": 2661,
+   "p95": 3568,
+   "max": 54555
+  },
+  "output_tokens_total": 11337406,
+  "peak_context_tokens": {
+   "n": 5700,
+   "mean": 4168.027894736842,
+   "median": 3625,
+   "p90": 5707,
+   "p95": 7145,
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+    "max": 12.471695
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+    "p95": 57.857729,
+    "max": 568.577708
+   }
+  },
+  "tools": {
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+    "calls": 66661,
+    "calls_per_trajectory": 11.694912280701754,
+    "failed": null,
+    "failure_rate": null
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+    "failure_rate": null
+   }
+  },
+  "tool_steps": 73121,
+  "tool_steps_without_output": 0,
+  "tool_steps_with_error_text": 805,
+  "tool_steps_with_error_text_rate": 0.011009149218418786,
+  "terminations": {
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+   "task_complete": 4249
+  },
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+   "[assignment]": 0.0003361573025916668,
+   "[unknown]": 0.034857605366457316,
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+   "adduser": 1.2531328320802004e-05,
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+   "aggregate_fs.sh": 3.898635477582846e-06,
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+   "apt-get": 0.0016420641142550034,
+   "archive_dirs.sh": 1.4619883040935671e-05,
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+   "check_shell_options_v2.sh": 1.0964912280701754e-05,
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