Publish partial TermiGen v3 Qwen3.8-27B pass@2 results

Keep all 2,277 v2 tasks and add 216 newly solved tasks. Preserve historical traces and publish 2,024 new saved conversations. Mark 47 tasks and 94 attempts pending; report new evaluation statistics separately.

termigen_v3/README.md

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+# TermiGen v3 (partial)
+
+## Dataset stats
+
+- **Kept:** 2,493 tasks.
+- **Carried forward from v2:** 2,277 tasks.
+- **Newly solved:** 216 tasks.
+- **New evaluation:** 1,059 previously unsolved tasks selected; 1,012 completed.
+- **Recorded attempts:** 2,024 of 2,118 planned.
+- **Saved conversations:** 2,024 for the new evaluation.
+- **Completed without a success:** 796 tasks.
+- **Pending:** 47 tasks, 94 attempts.
+
+This partial release adds tasks solved by Qwen3.8-27B to [TermiGen v2](../termigen_v2/README.md). It preserves every v2 task and its recorded result columns. The selected cohort comes from the 3,336-task v2 evaluation. Another 131 tasks in the pinned 3,467-task v1 source are outside that cohort and are not added by this release.
+
+## New evaluation
+
+Qwen/Qwen3.8-27B in thinking mode, Terminus-2, two attempts per task. Temperature 1.0, top-p 0.95, top-k 20, context 32,768 tokens and maximum output 8,192 tokens. Task CPU, memory and timeout limits are unchanged. Each H200 job uses 32 CPUs with up to four concurrent trials; the serving process has eight sequence slots.
+
+The new evaluation uses unchanged payloads from `termigen_v1` at revision `5f4179046b9f321b5d0f8b1c534eb6511299e39c`. Contracts and selection provenance are in [metadata](metadata/selection.json).
+
+| Successful attempts | Completed tasks |
+| --- | ---: |
+| 0/2 | 796 |
+| 1/2 | 74 |
+| 2/2 | 142 |
+
+Among the 1,012 completed tasks, 216 (21.34%) were solved at least once. The full selected cohort's pass@2 is pending because 47 tasks have no results. Missing attempts are not scored as failures.
+
+Of the recorded attempts, 358 have verifier reward 1, 1,637 have verifier reward 0, and 29 have no verifier reward. The run's `terminal-errors-zero-v2` policy counts those 29 recorded terminal errors as zero while preserving their raw null rewards. All 2,024 have saved conversations.
+
+## Tasks and traces
+
+`tasks.parquet` contains the cumulative kept tasks. New columns are `qwen38_attempts`, `qwen38_successes`, `qwen38_missing_attempts` and `qwen38_saved_traces`. Carried-forward tasks outside the new evaluation have zero new attempts and a null new success count.
+
+`traces/` preserves all 26,688 historical v2 attempts and adds 2,024 new attempts, including failed attempts and excluded tasks. `evaluation_version` identifies v2 versus v3; `retained_v2` preserves historical membership and `retained_v3` identifies current membership. Raw `trajectory` and `result` JSON are included. The 64 missing historical conversations remain identified in v2 data.
+
+[Trace statistics](trace_stats/README.md) cover only the new Qwen3.8-27B evaluation. See [v2 statistics](../termigen_v2/trace_stats/README.md) for earlier models. [Trace audit](metadata/trace-audit.json) records the 47 tasks awaiting resubmission.
+
+Not yet checked with the repository-leak checks added on 2026-10-17 (leftover git history and file timestamps that could reveal the solution).
+
+Runtime: Python 3.12.14, Harbor 0.8.1, vLLM 0.30.0, Apptainer 1.5.4. The new run uses [Marin Harbor `7faf878c14b6`](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) with the recorded runtime patches.

termigen_v3/metadata/inputs.json

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+{
+  "source": {
+    "file": "termigen_v1/tasks.parquet",
+    "revision": "5f4179046b9f321b5d0f8b1c534eb6511299e39c",
+    "sha256": "8d8a935d6409bf72fb567d454ce544a1c571365eee5023a44f855279cba1d777"
+  },
+  "v2": {
+    "file": "termigen_v2/tasks.parquet",
+    "revision": "31605242e5cfb104b8c28c7b28521297db65e291",
+    "sha256": "f039c872cc13c12207e45fbe3fca6bf0ac0d093b45f89848fc21e11e7d86cc85"
+  }
+}

termigen_v3/metadata/results.json

@@ -0,0 +1,25 @@
+{
+  "tasks": 1059,
+  "recorded_attempts": 2024,
+  "saved_traces": 2024,
+  "retry_tasks": 47,
+  "retry_attempts": 94,
+  "no_trace_tasks": 47,
+  "one_trace_tasks": 0,
+  "solved_tasks": 216,
+  "v2_kept": 2277,
+  "newly_solved": 216,
+  "kept": 2493,
+  "source_tasks": 3467,
+  "completed_unsolved": 796,
+  "pending_tasks": 47,
+  "success_distribution": {
+    "1": 74,
+    "0": 796,
+    "2": 142
+  },
+  "partial": true,
+  "snapshot_utc": "2026-10-20T19:45:23.785127+00:00",
+  "previous_evaluation_tasks": 3336,
+  "outside_previous_evaluation": 131
+}

termigen_v3/metadata/run-pilot-acceptance.json

@@ -0,0 +1,15 @@
+{
+  "attempts": 8,
+  "tasks": 4,
+  "effective_concurrency": 4,
+  "successes": 0,
+  "contract_sha256": "95c7bbdfd99c44d6b1977695c12d77a779df7fdb75b8a13db055a521eb94fea9",
+  "resources": {
+    "requested_concurrency": 4,
+    "max_concurrency": 28,
+    "trial_cpu_budget": 28,
+    "reserved_cpus_per_trial": 1,
+    "effective_concurrency": 4,
+    "static_concurrency": 4
+  }
+}

termigen_v3/metadata/run-preflight.json

@@ -0,0 +1,56 @@
+{
+  "pilot": {
+    "contract": "95c7bbdfd99c44d6b1977695c12d77a779df7fdb75b8a13db055a521eb94fea9",
+    "task_count": 4,
+    "shards": 1,
+    "resolved_serving_agent_settings": {
+      "temperature": 1.0,
+      "extra_body": {
+        "top_p": 0.95,
+        "top_k": 20,
+        "min_p": 0.0,
+        "presence_penalty": 0.0,
+        "repetition_penalty": 1.0,
+        "chat_template_kwargs": {
+          "enable_thinking": true
+        }
+      },
+      "max_tokens": 8192,
+      "model_info": {
+        "max_input_tokens": 32768,
+        "input_cost_per_token": 0,
+        "output_cost_per_token": 0,
+        "max_output_tokens": 8192
+      }
+    },
+    "code_hashes_verified": true,
+    "upstream_versions_verified": true
+  },
+  "full": {
+    "contract": "1e406039d1d6cd95340ad320d34bc9f8b9d72c2145568efe19fe579bcf7d2b43",
+    "task_count": 1055,
+    "shards": 88,
+    "resolved_serving_agent_settings": {
+      "temperature": 1.0,
+      "extra_body": {
+        "top_p": 0.95,
+        "top_k": 20,
+        "min_p": 0.0,
+        "presence_penalty": 0.0,
+        "repetition_penalty": 1.0,
+        "chat_template_kwargs": {
+          "enable_thinking": true
+        }
+      },
+      "max_tokens": 8192,
+      "model_info": {
+        "max_input_tokens": 32768,
+        "input_cost_per_token": 0,
+        "output_cost_per_token": 0,
+        "max_output_tokens": 8192
+      }
+    },
+    "code_hashes_verified": true,
+    "upstream_versions_verified": true
+  }
+}

termigen_v3/patch.py

@@ -0,0 +1,28 @@
+"""Rebuild cumulative TermiGen v3 tasks from pinned v1/v2 inputs and local selection metadata.
+Usage: python patch.py --out rebuilt.parquet
+Requires pyarrow and huggingface_hub. Does not rerun validation or teacher generation.
+"""
+import argparse,hashlib,json
+from pathlib import Path
+import pyarrow as pa,pyarrow.parquet as pq
+from huggingface_hub import hf_hub_download
+
+def build(selection, source, old):
+    current={r['path']:r for r in source.to_pylist()};prior={r['path']:r for r in old.to_pylist()};rows=[]
+    for tid,e in sorted(selection['tasks'].items()):
+        if not e['kept']:continue
+        if tid in prior:r=dict(prior[tid])
+        else:
+            r=dict(current[tid]);r.update({k:e['v2_results'].get(k) for k in ['coder_solved','instruct_successes','instruct_missing_rewards']});r['attempts_per_model']=4
+        assert r['content_sha256']==e['content_sha256']
+        r.update({k:e[k] for k in ['qwen38_attempts','qwen38_successes','qwen38_missing_attempts','qwen38_saved_traces']});rows.append(r)
+    schema=pa.schema([*old.schema,*(pa.field(k,pa.int64()) for k in ['qwen38_attempts','qwen38_successes','qwen38_missing_attempts','qwen38_saved_traces'])]);meta=dict(old.schema.metadata or {})
+    images=json.loads(source.schema.metadata[b'ot.images.v1']);kept={r['path'] for r in rows};images['tasks']={t:e for t,e in images['tasks'].items() if t 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()
+    meta[b'ot.release.v3']=json.dumps({'partial':True,'baseline_revision':selection['baseline_revision'],'source_revision':selection['source_revision'],'kept':len(rows),'new_model':'Qwen/Qwen3.8-27B','reward_policy':'terminal-errors-zero-v2'}).encode()
+    return pa.Table.from_pylist(rows,schema=schema.with_metadata(meta))
+
+if __name__=='__main__':
+    ap=argparse.ArgumentParser();ap.add_argument('--out',type=Path,required=True);a=ap.parse_args();root=Path(__file__).parent;s=json.loads((root/'metadata/selection.json').read_text());inputs=json.loads((root/'metadata/inputs.json').read_text());tables={}
+    for key,record in inputs.items():
+        path=Path(hf_hub_download(s['repo_id'],record['file'],repo_type='dataset',revision=record['revision']));assert hashlib.sha256(path.read_bytes()).hexdigest()==record['sha256'];tables[key]=pq.read_table(path)
+    pq.write_table(build(s,tables['source'],tables['v2']),a.out,compression='zstd')

termigen_v3/tasks.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3338c26c459bdfb2e5c7f6097bbd0082f72bd7a5548c40edef3d816b884e3730
+size 210505840

termigen_v3/trace_stats/README.md

@@ -0,0 +1,34 @@
+# Trajectory statistics
+
+2,024 attempts across 1,012 tasks of TermiGen v3, Qwen3.8-27B partial evaluation, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
+
+| Metric | qwen38-27b |
+| --- | ---: |
+| Recorded attempts | 2,024 |
+| Median agent turns | 8 |
+| Median input tokens per attempt | 55,508 |
+| Median output tokens per attempt | 16,714 |
+| Median agent runtime (seconds) | 330 |
+| Median verifier runtime (seconds) | 10 |
+
+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: [qwen38-27b](plots/qwen38-27b-trace-commands.png), [qwen38-27b](plots/qwen38-27b-trace-distributions.png), [qwen38-27b](plots/qwen38-27b-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: 29. Their missing measurements stay empty.

termigen_v3/trace_stats/data/per_attempt.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f3500228b378e75a2a2f9a9d10149d24f757e96d3515eacdb9fd4cbce6687251
+size 384769

termigen_v3/trace_stats/data/per_task.parquet

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+oid sha256:c82ed9be70b0e8bc90b21d7ed72ff6aa24a0511892f08e6d453429e5c301294f
+size 414582

termigen_v3/trace_stats/data/provenance.json

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+{
+ "deduplication_key": [
+  "model",
+  "task_id",
+  "attempt_id"
+ ],
+ "sources": [
+  {
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termigen_v3/trace_stats/data/summary.json

@@ -0,0 +1,1305 @@
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