Datasets:
Merge SETA recovery into task selection
Browse files
seta_v2/README.md
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
|
| 3 |
## Dataset stats
|
| 4 |
|
| 5 |
-
- **Tasks:** 4,567 native tasks; 1,414 omitted upstream, 46 excluded in v1. **3,107 v1 tasks → 2,
|
| 6 |
- **Images:** reuse **10 of v1's 11 cached Apptainer environments**. No additional images or task repairs in v2; original unique image count was not recorded.
|
| 7 |
|
| 8 |
## Dataset characteristics
|
|
@@ -20,30 +20,28 @@
|
|
| 20 |
|
| 21 |
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.
|
| 22 |
|
| 23 |
-
##
|
| 24 |
|
| 25 |
-
|
| 26 |
|
| 27 |
| Model | Tasks solved at least once |
|
| 28 |
| --- | ---: |
|
| 29 |
-
| Qwen3-30B-A3B-Instruct-2507 |
|
| 30 |
-
| Qwen3-30B-A3B-Thinking | 1,
|
| 31 |
-
| Either model | **2,
|
| 32 |
|
| 33 |
-
|
|
| 34 |
| --- | ---: |
|
|
|
|
| 35 |
| Complete 16 attempts per model, no success | 364 |
|
| 36 |
-
|
|
| 37 |
-
|
|
| 38 |
-
| Total | **957** |
|
| 39 |
|
| 40 |
-
|
| 41 |
|
| 42 |
-
|
| 43 |
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
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.
|
| 47 |
|
| 48 |
| Successful attempts | Instruct tasks | Thinking tasks |
|
| 49 |
| --- | ---: | ---: |
|
|
@@ -67,13 +65,15 @@ These are observed success counts from up to 16 attempts per model, not complete
|
|
| 67 |
|
| 68 |
## Files and selecting tasks
|
| 69 |
|
| 70 |
-
`tasks.parquet` contains kept payloads and
|
| 71 |
|
| 72 |
```python
|
| 73 |
import pyarrow.parquet as pq
|
| 74 |
-
#
|
| 75 |
-
|
| 76 |
-
|
|
|
|
|
|
|
| 77 |
pq.write_table(subset, "selected.parquet", compression="zstd")
|
| 78 |
```
|
| 79 |
|
|
|
|
| 2 |
|
| 3 |
## Dataset stats
|
| 4 |
|
| 5 |
+
- **Tasks:** 4,567 native tasks; 1,414 omitted upstream, 46 excluded in v1. **3,107 v1 tasks → 2,205 kept**, including 55 newly retained after pass@16 recovery; **902 temporarily excluded**.
|
| 6 |
- **Images:** reuse **10 of v1's 11 cached Apptainer environments**. No additional images or task repairs in v2; original unique image count was not recorded.
|
| 7 |
|
| 8 |
## Dataset characteristics
|
|
|
|
| 20 |
|
| 21 |
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.
|
| 22 |
|
| 23 |
+
## Merged partial-result selection
|
| 24 |
|
| 25 |
+
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.
|
| 26 |
|
| 27 |
| Model | Tasks solved at least once |
|
| 28 |
| --- | ---: |
|
| 29 |
+
| Qwen3-30B-A3B-Instruct-2507 | 2,137 |
|
| 30 |
+
| Qwen3-30B-A3B-Thinking | 1,459 |
|
| 31 |
+
| Either model | **2,205** |
|
| 32 |
|
| 33 |
+
| Still temporarily excluded | Tasks |
|
| 34 |
| --- | ---: |
|
| 35 |
+
| Incomplete results, no success recorded | 509 |
|
| 36 |
| Complete 16 attempts per model, no success | 364 |
|
| 37 |
+
| No scored results | 29 |
|
| 38 |
+
| Total | **902** |
|
|
|
|
| 39 |
|
| 40 |
+
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. Missing verifier rewards remain unknown, not failures.
|
| 41 |
|
| 42 |
+
## Successful attempts in the original snapshot
|
| 43 |
|
| 44 |
+
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.
|
|
|
|
|
|
|
| 45 |
|
| 46 |
| Successful attempts | Instruct tasks | Thinking tasks |
|
| 47 |
| --- | ---: | ---: |
|
|
|
|
| 65 |
|
| 66 |
## Files and selecting tasks
|
| 67 |
|
| 68 |
+
`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`.
|
| 69 |
|
| 70 |
```python
|
| 71 |
import pyarrow.parquet as pq
|
| 72 |
+
# At least one Instruct success in either the frozen snapshot or recovery tranche.
|
| 73 |
+
t = pq.read_table("tasks.parquet")
|
| 74 |
+
subset = t.filter(
|
| 75 |
+
(t["instruct_successes"] + t["recovery_instruct_successes"]) > 0
|
| 76 |
+
)
|
| 77 |
pq.write_table(subset, "selected.parquet", compression="zstd")
|
| 78 |
```
|
| 79 |
|
seta_v2/metadata/selection.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
seta_v2/patch.py
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
"""Reproduce the
|
| 2 |
import argparse,copy,hashlib,json
|
| 3 |
from pathlib import Path
|
| 4 |
import pyarrow as pa
|
|
@@ -14,6 +14,9 @@ for prefix in ['instruct','thinking']:
|
|
| 14 |
for suffix in ['successes','graded_attempts','missing_attempts']:
|
| 15 |
schema=schema.append(pa.field(prefix+'_'+suffix,pa.int64()))
|
| 16 |
schema=schema.append(pa.field('target_attempts_per_model',pa.int64()))
|
|
|
|
|
|
|
|
|
|
| 17 |
for r in t.to_pylist():
|
| 18 |
s=m['tasks'][r['path']];assert r['content_sha256']==s['content_sha256']
|
| 19 |
if not s['kept']:continue
|
|
@@ -22,9 +25,16 @@ for r in t.to_pylist():
|
|
| 22 |
assert v['graded_attempts']==sum(x is not None for x in v['rewards'])
|
| 23 |
assert v['missing_attempts']==16-v['graded_attempts']
|
| 24 |
for suffix,key in [('successes','successful_attempts'),('graded_attempts','graded_attempts'),('missing_attempts','missing_attempts')]:r[prefix+'_'+suffix]=v[key]
|
| 25 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
r['target_attempts_per_model']=16;rows.append(r)
|
| 27 |
-
assert len(rows)==
|
| 28 |
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
|
| 29 |
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']=[]
|
| 30 |
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()}
|
|
|
|
| 1 |
+
"""Reproduce the merged SETA v2 partial-result selection. Requires pyarrow and huggingface_hub."""
|
| 2 |
import argparse,copy,hashlib,json
|
| 3 |
from pathlib import Path
|
| 4 |
import pyarrow as pa
|
|
|
|
| 14 |
for suffix in ['successes','graded_attempts','missing_attempts']:
|
| 15 |
schema=schema.append(pa.field(prefix+'_'+suffix,pa.int64()))
|
| 16 |
schema=schema.append(pa.field('target_attempts_per_model',pa.int64()))
|
| 17 |
+
for prefix in ['recovery_instruct','recovery_thinking']:
|
| 18 |
+
for suffix in ['attempts','successes','missing_rewards']:
|
| 19 |
+
schema=schema.append(pa.field(prefix+'_'+suffix,pa.int64()))
|
| 20 |
for r in t.to_pylist():
|
| 21 |
s=m['tasks'][r['path']];assert r['content_sha256']==s['content_sha256']
|
| 22 |
if not s['kept']:continue
|
|
|
|
| 25 |
assert v['graded_attempts']==sum(x is not None for x in v['rewards'])
|
| 26 |
assert v['missing_attempts']==16-v['graded_attempts']
|
| 27 |
for suffix,key in [('successes','successful_attempts'),('graded_attempts','graded_attempts'),('missing_attempts','missing_attempts')]:r[prefix+'_'+suffix]=v[key]
|
| 28 |
+
recovery=s.get('recovery',{})
|
| 29 |
+
for prefix in ['instruct','thinking']:
|
| 30 |
+
v=recovery.get(prefix,{})
|
| 31 |
+
r['recovery_'+prefix+'_attempts']=v.get('attempts',0)
|
| 32 |
+
r['recovery_'+prefix+'_successes']=v.get('successful_attempts',0)
|
| 33 |
+
r['recovery_'+prefix+'_missing_rewards']=v.get('missing_verifier_rewards',0)
|
| 34 |
+
assert (r['instruct_successes'] or r['thinking_successes'] or
|
| 35 |
+
r['recovery_instruct_successes'] or r['recovery_thinking_successes'])
|
| 36 |
r['target_attempts_per_model']=16;rows.append(r)
|
| 37 |
+
assert len(rows)==2205
|
| 38 |
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
|
| 39 |
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']=[]
|
| 40 |
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()}
|
seta_v2/runs/2026-10-15-pass16-recovery/README.md
CHANGED
|
@@ -4,4 +4,4 @@ This folder contains the completed remaining-attempt recovery tranche for Qwen3-
|
|
| 4 |
|
| 5 |
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.
|
| 6 |
|
| 7 |
-
This is the recovery tranche, not an independent full pass@16 estimate. The
|
|
|
|
| 4 |
|
| 5 |
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.
|
| 6 |
|
| 7 |
+
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.
|
seta_v2/runs/2026-10-15-pass16-recovery/run.json
CHANGED
|
@@ -913,5 +913,17 @@
|
|
| 913 |
"bytes": 2356,
|
| 914 |
"sha256": "f91ae6b6d872e76c1724d8bea2d410f9c932c9c145a86e6cc4f1ef441e0758e1"
|
| 915 |
}
|
| 916 |
-
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 917 |
}
|
|
|
|
| 913 |
"bytes": 2356,
|
| 914 |
"sha256": "f91ae6b6d872e76c1724d8bea2d410f9c932c9c145a86e6cc4f1ef441e0758e1"
|
| 915 |
}
|
| 916 |
+
],
|
| 917 |
+
"selection_merge": {
|
| 918 |
+
"as_of_utc": "2026-10-16T10:10:10+00:00",
|
| 919 |
+
"rule": "Keep task if either model has verifier reward 1 in frozen snapshot or this recovery run.",
|
| 920 |
+
"newly_retained_tasks": 55,
|
| 921 |
+
"published_kept_tasks": 2205,
|
| 922 |
+
"published_excluded_tasks": 902,
|
| 923 |
+
"solved_at_least_once": {
|
| 924 |
+
"qwen3-30b-instruct-2507": 2137,
|
| 925 |
+
"qwen3-30b-thinking": 1459
|
| 926 |
+
},
|
| 927 |
+
"baseline_attempt_counts_preserved": true
|
| 928 |
+
}
|
| 929 |
}
|
seta_v2/tasks.parquet
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:927df4ad0790782f500575a560a792e13a2ca3a31b52ff846408e0709c040653
|
| 3 |
+
size 249061328
|