diff --git a/calibforge_v2/README.md b/calibforge_v2/README.md
new file mode 100644
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+++ b/calibforge_v2/README.md
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+# CalibForge v2
+
+## Dataset stats
+
+- **Tasks:** 5,431 original; 5,317 retained in v1. **84 retained in v2**, all previously patched; **5,233 temporarily excluded**. The 114 earlier exclusions remain in v1.
+- **Images:** reuse **84 cached v1 Apptainer environments**; no new image builds or task repairs in v2. V1 has 5,210 cached environments.
+
+## Dataset characteristics
+
+Domains
+
+Terminal tasks spanning debugging, software engineering, data processing, data science, security, mathematics and optimization.
+
+
+Capabilities
+
+Exploration, specification adherence and error recovery through inspecting files, modifying programs and checking executable outputs.
+
+
+
+Intended benchmark transfer: Terminal-Bench 2.0 and OpenThoughts-TBLite 2.0; data-science tasks also overlap DS-1000.
+
+## Partial-result selection
+
+Snapshot: **15 October 2026, 21:02 UTC**. Qwen3-30B-A3B-Instruct-2507, with eight planned attempts per task.
+
+**Of 5,317 tasks, 209 are complete, 97 have started but are incomplete, and 5,011 have no recorded attempt.** Complete means all eight attempts have a recorded score.
+
+**84 tasks are solved at least once:** 66 with complete results and 18 with partial results. A single successful attempt is sufficient for retention.
+
+| Temporary exclusion reason | Tasks |
+| --- | ---: |
+| Complete, no success | 143 |
+| Started but incomplete, no success yet | 79 |
+| No recorded attempt | 5,011 |
+| Total | **5,233** |
+
+Missing results remain unknown, not failures. These exclusions can be reconsidered as runs finish.
+
+Build, no-op and rule-based checks carry over from [v1](../Calibforge_environment-reliable/README.md); no reference solutions are provided. V2 preserves v1 payloads. For all 84 retained tasks, the evaluated variant differs only by the added timeout/anti-cheating instruction sentence and trailing instruction whitespace; all other file bytes match. The variant has not been rerun with that sentence.
+
+## Successful attempts among retained tasks
+
+Observed counts from up to eight attempts, not complete pass@8 estimates.
+
+| Instruct successes | Tasks |
+| --- | ---: |
+| 1 | 33 |
+| 2 | 17 |
+| 3 | 10 |
+| 4 | 8 |
+| 5 | 4 |
+| 6 | 2 |
+| 7 | 4 |
+| 8 | 6 |
+
+## Files and selecting tasks
+
+`tasks.parquet` contains retained payloads, `instruct_successes`, `instruct_graded_attempts`, `instruct_missing_attempts` and `target_attempts_per_model` (8). `assets/selection.json` records all task statuses, attempt IDs, rewards and the pinned v1 source. Excluded payloads remain in v1; no duplicate archive Parquet is uploaded. `patch.py` reproduces this snapshot.
+
+```python
+import pyarrow.parquet as pq
+subset = pq.read_table("tasks.parquet", filters=[("instruct_successes", "=", 1)])
+pq.write_table(subset, "selected.parquet", compression="zstd")
+```
+
+## Traces
+
+[Compressed trace Parquet](traces/instruct.parquet) contains **2,013 recorded attempts**, successful and failed, from retained and excluded tasks. All conversations are present. Six attempts have no recorded score; their rewards remain null. These traces reproduce the snapshot's 84 solved tasks.
+
+Each row includes task ID, evaluated content hash, model, attempt ID, snapshot reward, raw verifier reward, retention flag and full `trajectory` and `result` JSON. No traces are invented for unfinished or unstarted attempts.
+
+## Runtime
+
+Apptainer **1.5.4**, Python **3.12.14**, Harbor **0.8.1**; [Marin Harbor bridge](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) and [runtime patches](https://github.com/MLI-lab/OT-next-data/tree/main/harbor_patches).
diff --git a/calibforge_v2/assets/selection.json b/calibforge_v2/assets/selection.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3d68586062246383934e092d2048f06b3cbb2e9
--- /dev/null
+++ b/calibforge_v2/assets/selection.json
@@ -0,0 +1 @@
+{"repo_id":"FWeindel/validated-tasks","source_folder":"Calibforge_environment-reliable","source_revision":"8eb75cd498bdb1c57e21a1cb2dd3367340abc223","source_sha256":"4f25d6e593fdfa9988baae62b9122bc1f928f2c55719ec1aec1357d795f86ffa","snapshot_utc":"2026-10-15T21:02:40.200662+00:00","summary":{"snapshot_utc":"2026-10-15T21:02:40.200662+00:00","total_tasks":5317,"model":"Qwen3-30B-A3B-Instruct-2507","target_attempts":8,"solved":84,"complete":209,"solved_complete":66,"incomplete":97,"not_attempted":5011,"solved_incomplete":18,"live_nodes_checked":["h24-02","h24-03","h24-05","h24-07","h24-08","h24-09","h24-16","h24-17","h24-18"],"errors":[]},"evaluated_variant":"Retained tasks differ only by the timeout/anti-cheating instruction sentence and trailing instruction whitespace; all other file bytes 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diff --git a/calibforge_v2/patch.py b/calibforge_v2/patch.py
new file mode 100644
index 0000000000000000000000000000000000000000..84f4e92b0dd9d74956043c8ab2c35c28ca1cf476
--- /dev/null
+++ b/calibforge_v2/patch.py
@@ -0,0 +1,21 @@
+"""Reproduce CalibForge v2 from pinned v1 and a frozen partial-results snapshot."""
+import argparse,json,hashlib
+from pathlib import Path
+import pyarrow as pa,pyarrow.parquet as pq
+from huggingface_hub import hf_hub_download
+p=argparse.ArgumentParser(description=__doc__);p.add_argument('--out',type=Path,required=True);p.add_argument('--source',type=Path);a=p.parse_args();a.out.mkdir(parents=True,exist_ok=True)
+assert not (a.out/'tasks.parquet').exists()
+m=json.loads((Path(__file__).parent/'assets/selection.json').read_text());f=a.source or Path(hf_hub_download(m['repo_id'],m['source_folder']+'/tasks.parquet',revision=m['source_revision'],repo_type='dataset',cache_dir=a.out/'.source-cache'));assert hashlib.sha256(f.read_bytes()).hexdigest()==m['source_sha256']
+src=pq.ParquetFile(f);schema=src.schema_arrow.remove_metadata()
+for name in ['instruct_successes','instruct_graded_attempts','instruct_missing_attempts','target_attempts_per_model']:schema=schema.append(pa.field(name,pa.int64()))
+rows=[]
+for batch in src.iter_batches(batch_size=32):
+ for r in batch.to_pylist():
+ s=m['tasks'][r['path']];assert r['content_sha256']==s['content_sha256']
+ if not s['kept']:continue
+ for k in ['instruct_successes','instruct_graded_attempts','instruct_missing_attempts']:r[k]=s[k]
+ assert r['instruct_successes']>0;r['target_attempts_per_model']=8;rows.append(r)
+assert len(rows)==84
+names={r['path'] for r in rows};im=json.loads(src.schema_arrow.metadata[b'ot.images.v1']);im['tasks']={k:v for k,v in im['tasks'].items() if k in names};assert set(im['tasks'])==names
+bundles={e['bundle'] for v in im['tasks'].values() for e in v['environments']};im['bundles']={k:v for k,v in im['bundles'].items() if k in bundles};im['missing']=[]
+meta={b'ot.images.v1':json.dumps(im).encode(),b'ot.release.v2':json.dumps({k:v for k,v in m.items() if k!='tasks'}).encode()};pq.write_table(pa.Table.from_pylist(rows,schema=schema).replace_schema_metadata(meta),a.out/'tasks.parquet',compression='zstd');print('Retained',len(rows),'images reused',len(bundles))
diff --git a/calibforge_v2/tasks.parquet b/calibforge_v2/tasks.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..019504ef9d9be06a81f60cdfdb4371ff88a64d10
--- /dev/null
+++ b/calibforge_v2/tasks.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:736549e9f301bd3ecd9c1760624b090f67e7077ca3de635c1a4d3ab305d5f86b
+size 1956215
diff --git a/calibforge_v2/traces/instruct.parquet b/calibforge_v2/traces/instruct.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..afbece93a37ae4c4efa66b9f22afd1f73b7a56ab
--- /dev/null
+++ b/calibforge_v2/traces/instruct.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4698090133fe24d248ed6c2b5be2a95490ea77e5e40d76db98627b3064ac44b7
+size 20751029
diff --git a/calibforge_v2/traces/manifest.json b/calibforge_v2/traces/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b6a4162a13abd461de5a71a49795c5aa003d5cd4
--- /dev/null
+++ b/calibforge_v2/traces/manifest.json
@@ -0,0 +1,9 @@
+{
+ "snapshot_utc": "2026-10-15T21:02:40.200662+00:00",
+ "attempts": 2013,
+ "missing_traces": 0,
+ "ungraded_attempts": 6,
+ "successful_attempts": 237,
+ "solved_tasks": 84,
+ "sha256": "4698090133fe24d248ed6c2b5be2a95490ea77e5e40d76db98627b3064ac44b7"
+}
\ No newline at end of file
diff --git a/seta_v2/README.md b/seta_v2/README.md
index 933e4bf52e33ac8d9eeb75283b7a0e06801373f8..d3a324c20653be6244fd44d200e2b2336631ced7 100644
--- a/seta_v2/README.md
+++ b/seta_v2/README.md
@@ -77,7 +77,11 @@ subset = pq.read_table("tasks.parquet", filters=[("instruct_successes", "=", 1)]
pq.write_table(subset, "selected.parquet", compression="zstd")
```
-Traces are not included in this snapshot.
+## Traces
+
+[Compressed trace Parquets](traces) contain **91,898 recorded attempts**, including successful attempts, failed attempts and retries, from retained and excluded tasks. They reproduce the snapshot's per-task graded and successful attempt counts. **165 conversations are missing** and marked `trajectory_found=false`; **4,746 attempts have no snapshot score** and retain null rewards.
+
+Each row includes task ID, content hash, model, attempt ID, snapshot reward, raw verifier reward, retention flag and full `trajectory` and `result` JSON. Additional ungraded retry records are preserved for auditing and do not increase the published graded-attempt counts.
## Runtime
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+++ b/seta_v2/traces/000.parquet
@@ -0,0 +1,3 @@
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