Datasets:
Publish merged SETA v2 recovery selection
Browse files- seta_v2/README.md +20 -20
- seta_v2/metadata/selection.json +0 -0
- seta_v2/patch.py +13 -3
- seta_v2/runs/2026-10-15-pass16-recovery/README.md +7 -0
- seta_v2/runs/2026-10-15-pass16-recovery/missing-reward-audit/retained-errors.csv +0 -0
- seta_v2/runs/2026-10-15-pass16-recovery/missing-reward-audit/retained-errors.jsonl +0 -0
- seta_v2/runs/2026-10-15-pass16-recovery/missing-reward-audit/retention-policy.json +16 -0
- seta_v2/runs/2026-10-15-pass16-recovery/missing-reward-audit/summary.json +63 -0
- seta_v2/runs/2026-10-15-pass16-recovery/run.json +930 -0
- seta_v2/runs/2026-10-15-pass16-recovery/trajectories/qwen3-30b-instruct-2507.parquet +3 -0
- seta_v2/runs/2026-10-15-pass16-recovery/trajectories/qwen3-30b-thinking.parquet +3 -0
- seta_v2/tasks.parquet +2 -2
seta_v2/README.md
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## Dataset stats
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- **Tasks:** 4,567
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- **
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## Dataset characteristics
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Intended benchmark transfer: **Terminal-Bench 2.0, OpenThoughts-TBLite 2.0, DS-1000 mini-200 and BixBench CLI corrections @ Pi**, through terminal workflows, Python data analysis and executable verification.
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##
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| Model | Tasks solved at least once |
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| --- | ---: |
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| Qwen3-30B-A3B-Instruct-2507 |
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| Qwen3-30B-A3B-Thinking | 1,
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| Either model | **2,
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| --- | ---: |
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| Complete 16 attempts per model, no success | 364 |
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| Total | **957** |
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These are observed success counts from up to 16 attempts per model, not complete pass@16 estimates. Zero for one model can include missing results; the other model solved the task.
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| Successful attempts | Instruct tasks | Thinking tasks |
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| --- | ---: | ---: |
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## Files and selecting tasks
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`tasks.parquet` contains kept payloads and
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```python
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import pyarrow.parquet as pq
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#
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pq.write_table(subset, "selected.parquet", compression="zstd")
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```
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## Dataset stats
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- **Tasks:** 4,567 original SETA tasks; 3,107 kept in v1. The current v2 release keeps 2,205 and archives 902. Archived tasks have no recorded model success in the available results; some runs are incomplete.
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- **Environments:** v2 reuses the cached Apptainer environments from v1.
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## Dataset characteristics
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Intended benchmark transfer: **Terminal-Bench 2.0, OpenThoughts-TBLite 2.0, DS-1000 mini-200 and BixBench CLI corrections @ Pi**, through terminal workflows, Python data analysis and executable verification.
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## Merged partial-result selection
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The published task list combines the frozen 15 October 2026, 20:57 UTC snapshot with the completed `2026-10-15-pass16-recovery` run. A task is kept when either model has at least one verifier reward of 1 across those results. The original snapshot remains recorded in `metadata/selection.json`; recovery results are stored separately so overlapping attempt counts are not added or double-counted.
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| Model | Tasks solved at least once |
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| --- | ---: |
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| Qwen3-30B-A3B-Instruct-2507 | 2,137 |
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| Qwen3-30B-A3B-Thinking | 1,459 |
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| Either model | **2,205** |
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| Archived from this release | Tasks |
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| --- | ---: |
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| Incomplete results, no success recorded | 509 |
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| Complete 16 attempts per model, no success | 364 |
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| No scored results | 29 |
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| Total | **902** |
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The recovery newly retained 55 tasks: 50 first successes for Instruct and 5 for Thinking. Another 194 existing tasks gained a first observed success for one model; model totals count each task once. The 509 tasks with incomplete results and no recorded success are archived from this release; each recorded failed trajectory receives curation reward 0. For attempts where the verifier produced no reward, the raw `verifier_reward` remains null and the error message is preserved. The 29 tasks with no scored results remain unscored.
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## Successful attempts in the original snapshot
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The table below records the frozen 15 October snapshot only (2,150 kept tasks). It is retained for historical comparison and is not a distribution for the merged 2,205-task selection. Recovery attempts and raw rewards are available in `runs/2026-10-15-pass16-recovery/`; `tasks.parquet` has separate `recovery_*` columns for each task.
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| Successful attempts | Instruct tasks | Thinking tasks |
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| --- | ---: | ---: |
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## Files and selecting tasks
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`tasks.parquet` contains the 2,205 kept payloads, frozen-snapshot metrics, and separate per-task recovery attempt, success and missing-reward counts. `metadata/selection.json` records every v1 task's results, selection reason and the pinned v1 revision. Excluded payloads remain in v1; no duplicate archive Parquet is uploaded. `patch.py` reproduces the merged task list from the pinned source tasks and `metadata/selection.json`.
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```python
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import pyarrow.parquet as pq
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# At least one Instruct success in either the frozen snapshot or recovery tranche.
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t = pq.read_table("tasks.parquet")
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subset = t.filter(
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(t["instruct_successes"] + t["recovery_instruct_successes"]) > 0
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)
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pq.write_table(subset, "selected.parquet", compression="zstd")
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```
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seta_v2/metadata/selection.json
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The diff for this file is too large to render.
See raw diff
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seta_v2/patch.py
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"""Reproduce the
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import argparse,copy,hashlib,json
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from pathlib import Path
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import pyarrow as pa
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for suffix in ['successes','graded_attempts','missing_attempts']:
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schema=schema.append(pa.field(prefix+'_'+suffix,pa.int64()))
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schema=schema.append(pa.field('target_attempts_per_model',pa.int64()))
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for r in t.to_pylist():
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s=m['tasks'][r['path']];assert r['content_sha256']==s['content_sha256']
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if not s['kept']:continue
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assert v['graded_attempts']==sum(x is not None for x in v['rewards'])
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assert v['missing_attempts']==16-v['graded_attempts']
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for suffix,key in [('successes','successful_attempts'),('graded_attempts','graded_attempts'),('missing_attempts','missing_attempts')]:r[prefix+'_'+suffix]=v[key]
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-
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r['target_attempts_per_model']=16;rows.append(r)
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assert len(rows)==
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names={r['path'] for r in rows};images=json.loads(t.schema.metadata[b'ot.images.v1']);images['tasks']={k:v for k,v in images['tasks'].items() if k in names};assert set(images['tasks'])==names
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bundles={e['bundle'] for v in images['tasks'].values() for e in v['environments']};images['bundles']={k:v for k,v in images['bundles'].items() if k in bundles};images['missing']=[]
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meta={b'ot.images.v1':json.dumps(images).encode(),b'ot.release.v2':json.dumps({k:v for k,v in m.items() if k!='tasks'}).encode()}
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"""Reproduce the merged SETA v2 partial-result selection. Requires pyarrow and huggingface_hub."""
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import argparse,copy,hashlib,json
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from pathlib import Path
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import pyarrow as pa
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for suffix in ['successes','graded_attempts','missing_attempts']:
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schema=schema.append(pa.field(prefix+'_'+suffix,pa.int64()))
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schema=schema.append(pa.field('target_attempts_per_model',pa.int64()))
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for prefix in ['recovery_instruct','recovery_thinking']:
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for suffix in ['attempts','successes','missing_rewards']:
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schema=schema.append(pa.field(prefix+'_'+suffix,pa.int64()))
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for r in t.to_pylist():
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s=m['tasks'][r['path']];assert r['content_sha256']==s['content_sha256']
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if not s['kept']:continue
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assert v['graded_attempts']==sum(x is not None for x in v['rewards'])
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assert v['missing_attempts']==16-v['graded_attempts']
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for suffix,key in [('successes','successful_attempts'),('graded_attempts','graded_attempts'),('missing_attempts','missing_attempts')]:r[prefix+'_'+suffix]=v[key]
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recovery=s.get('recovery',{})
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for prefix in ['instruct','thinking']:
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v=recovery.get(prefix,{})
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r['recovery_'+prefix+'_attempts']=v.get('attempts',0)
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r['recovery_'+prefix+'_successes']=v.get('successful_attempts',0)
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r['recovery_'+prefix+'_missing_rewards']=v.get('missing_verifier_rewards',0)
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assert (r['instruct_successes'] or r['thinking_successes'] or
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r['recovery_instruct_successes'] or r['recovery_thinking_successes'])
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r['target_attempts_per_model']=16;rows.append(r)
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assert len(rows)==2205
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names={r['path'] for r in rows};images=json.loads(t.schema.metadata[b'ot.images.v1']);images['tasks']={k:v for k,v in images['tasks'].items() if k in names};assert set(images['tasks'])==names
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bundles={e['bundle'] for v in images['tasks'].values() for e in v['environments']};images['bundles']={k:v for k,v in images['bundles'].items() if k in bundles};images['missing']=[]
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meta={b'ot.images.v1':json.dumps(images).encode(),b'ot.release.v2':json.dumps({k:v for k,v in m.items() if k!='tasks'}).encode()}
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seta_v2/runs/2026-10-15-pass16-recovery/README.md
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# SETA pass@16 recovery results
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This folder contains the completed remaining-attempt recovery tranche for Qwen3-30B Instruct and Thinking. The two per-attempt Parquets contain 22,263 scheduled trials across 1,392 task/model pairs, with the saved trajectory and raw verifier result. Verifier rewards are preserved as recorded, including null when no reward was produced.
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The missing-reward audit contains 764 final trial attempts with their original exception messages: 524 harness failures, 63 supported agent failures, 32 verifier timeouts and 145 unresolved errors. The agent failures include terminal exits and terminal kills.
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This is the recovery tranche, not an independent full pass@16 estimate. The original SETA v2 selection remains available as the frozen 2026-10-15 20:57 UTC baseline in `metadata/selection.json`. The published task list now merges this recovery evidence under the existing rule and retains 55 additional tasks. Per-task recovery counts are separate from baseline counts to prevent double-counting overlapping attempts. See `run.json` for report hashes, job IDs, counts and provenance.
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seta_v2/runs/2026-10-15-pass16-recovery/missing-reward-audit/retained-errors.csv
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The diff for this file is too large to render.
See raw diff
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seta_v2/runs/2026-10-15-pass16-recovery/missing-reward-audit/retained-errors.jsonl
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The diff for this file is too large to render.
See raw diff
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seta_v2/runs/2026-10-15-pass16-recovery/missing-reward-audit/retention-policy.json
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{
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"saved_at": "2026-10-16T11:31:47.738383+02:00",
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"attempts": 764,
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"failure_status_counts": {
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"harness_failure": 524,
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"agent_failure": 63,
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"unresolved_error": 145,
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"verifier_timeout": 32
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},
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"verifier_reward": null,
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"policy": "Retain original error messages and null verifier rewards. Agent-caused terminal exits/kills remain agent failures. Preserve attribution confidence and unresolved cases. No imputed reward, no retries launched, source archives unchanged.",
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"jsonl": "retained-errors.jsonl",
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"csv": "retained-errors.csv",
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"csv_null_encoding": "literal null in verifier_reward column",
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"validation": "All 764 unique attempt IDs and original exception messages checked against raw audit."
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}
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seta_v2/runs/2026-10-15-pass16-recovery/missing-reward-audit/summary.json
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{
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"created_at": "2026-10-16T11:23:32.406877+02:00",
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"scope": "764 missing-reward attempts from the 22,263 attempts in the Oct 15 SETA recovery arrays only; not an audit of older preserved attempts.",
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"raw_audit_sha256": "1ab10fb12a041709622280374e6017fa4a68ff00b2e13ed996a5867b3dede037",
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"attempts": 764,
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"finished_with_exception": 764,
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"classifications": {
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"harness_failure": 524,
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"agent_action_supported": 63,
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"unresolved": 145,
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"verifier_timeout": 32
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},
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"subtypes": {
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"output_truncation_lost_protocol_marker": 514,
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"agent_heredoc_delimiter_collision": 44,
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"TmuxBatchProtocolError": 104,
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"TmuxSessionEndedError": 7,
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"shell_startup_output_before_protocol_marker": 5,
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"verifier_budget_exhausted": 32,
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"AddTestsDirError": 6,
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"bridge_output_decode_error": 4,
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"RuntimeError": 8,
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"pre_agent_task_setup_failure": 1,
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"TmuxCommandError": 20,
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"agent_killed_tmux_server": 15,
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"agent_exited_shell": 4
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},
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"exception_types": {
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"TmuxBatchProtocolError": 623,
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"TmuxSessionEndedError": 70,
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"VerifierTimeoutError": 32,
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"AddTestsDirError": 6,
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"RuntimeError": 13,
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"TmuxCommandError": 20
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},
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"bridge_exec_return_codes": {
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"0": 519,
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"None": 137,
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"-15": 52,
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"-1": 12,
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"255": 29,
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"-9": 7,
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"-11": 7,
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"-3": 1
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},
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"by_model": {
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"qwen3-30b-instruct-2507": {
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"harness_failure": 296,
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"agent_action_supported": 49,
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"unresolved": 80,
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"verifier_timeout": 19
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},
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"qwen3-30b-thinking": {
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"verifier_timeout": 13,
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"harness_failure": 228,
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"agent_action_supported": 14,
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"unresolved": 65
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}
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},
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"scoring": "The frozen SETA task_metrics already retains these attempts in the pass@k denominator and counts no successful reward for them. Raw reward remains null. A derived failure score of 0 must be labelled as policy-derived, not verifier-observed.",
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"retry_policy": "No retries launched. Harness failures are candidates after fixing their cause; retries must retain original evidence and not be appended as extra chances to solve an existing pass@16 sample.",
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"limits": "Causal attribution is not always identifiable. Agent-action evidence is supported by saved commands and diagnostic state, not a replay. Numeric bridge return codes are not trial exit codes or rewards."
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}
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seta_v2/runs/2026-10-15-pass16-recovery/run.json
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| 1 |
+
{
|
| 2 |
+
"run": "2026-10-15-pass16-recovery",
|
| 3 |
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"kind": "pass16_remaining_attempts_recovery",
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