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Add CalibForge v3 and make v3 releases incremental

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Publish 2,287 newly solved CalibForge tasks with all 7,610 Qwen/Qwen3.8-27B pass@2 attempts and trace statistics. Convert BugsInPy, EndlessTerminals, NL2Bash and TermiGen v3 task sets to newly solved tasks only. Historical traces were verified identical in v2 before removing duplicate v3 copies. Update selection metadata, reproducible recipes, manifests and READMEs; preserve earlier versions in commit history.

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  1. .gitattributes +1 -0
  2. README.md +17 -2
  3. bugsinpy_v3/README.md +29 -8
  4. bugsinpy_v3/metadata/evaluation-settings-audit.json +2 -20
  5. bugsinpy_v3/metadata/history-deduplication.json +186 -0
  6. bugsinpy_v3/metadata/layout.json +420 -0
  7. bugsinpy_v3/metadata/previous-cumulative-patch.py +46 -0
  8. bugsinpy_v3/metadata/previous-release-verification.json +21 -0
  9. bugsinpy_v3/metadata/release-verification.json +14 -20
  10. bugsinpy_v3/metadata/selection.json +0 -0
  11. bugsinpy_v3/patch.py +17 -41
  12. bugsinpy_v3/tasks.parquet +2 -2
  13. bugsinpy_v3/trace_stats/README.md +21 -15
  14. bugsinpy_v3/trace_stats/data/per_attempt.parquet +2 -2
  15. bugsinpy_v3/trace_stats/data/per_task.parquet +2 -2
  16. bugsinpy_v3/trace_stats/data/provenance.json +36 -562
  17. bugsinpy_v3/trace_stats/data/summary.json +0 -0
  18. bugsinpy_v3/trace_stats/data/tokens-by-outcome.json +447 -0
  19. bugsinpy_v3/trace_stats/plots/all-models-tokens-by-outcome.pdf +0 -0
  20. bugsinpy_v3/trace_stats/plots/{qwen3-30b-instruct-2507-trace-commands.png → all-models-tokens-by-outcome.png} +2 -2
  21. bugsinpy_v3/trace_stats/plots/all-models-trace-commands.png +2 -2
  22. bugsinpy_v3/trace_stats/plots/all-models-trace-distributions.png +2 -2
  23. bugsinpy_v3/trace_stats/plots/all-models-trace-outcomes.png +2 -2
  24. bugsinpy_v3/trace_stats/plots/qwen3-30b-thinking-trace-distributions.png +0 -3
  25. bugsinpy_v3/trace_stats/plots/qwen3.8-27b-tokens-by-outcome.pdf +0 -0
  26. bugsinpy_v3/trace_stats/plots/{qwen3-30b-instruct-2507-trace-distributions.png → qwen3.8-27b-tokens-by-outcome.png} +2 -2
  27. bugsinpy_v3/traces/manifest.json +189 -615
  28. bugsinpy_v3/traces/qwen38-full-0000.parquet +2 -2
  29. bugsinpy_v3/traces/qwen38-full-0001.parquet +2 -2
  30. bugsinpy_v3/traces/qwen38-full-0002.parquet +2 -2
  31. bugsinpy_v3/traces/qwen38-full-0003.parquet +2 -2
  32. bugsinpy_v3/traces/qwen38-full-0004.parquet +2 -2
  33. bugsinpy_v3/traces/qwen38-full-0005.parquet +2 -2
  34. bugsinpy_v3/traces/qwen38-full-0006.parquet +2 -2
  35. bugsinpy_v3/traces/qwen38-full-0007.parquet +2 -2
  36. bugsinpy_v3/traces/qwen38-full-0008.parquet +2 -2
  37. bugsinpy_v3/traces/qwen38-full-0009.parquet +2 -2
  38. bugsinpy_v3/traces/qwen38-full-0010.parquet +2 -2
  39. bugsinpy_v3/traces/qwen38-full-0011.parquet +2 -2
  40. bugsinpy_v3/traces/qwen38-full-0012.parquet +2 -2
  41. bugsinpy_v3/traces/qwen38-full-0013.parquet +2 -2
  42. bugsinpy_v3/traces/qwen38-full-0014.parquet +2 -2
  43. bugsinpy_v3/traces/qwen38-full-0015.parquet +2 -2
  44. bugsinpy_v3/traces/qwen38-full-0016.parquet +2 -2
  45. bugsinpy_v3/traces/qwen38-full-0017.parquet +2 -2
  46. bugsinpy_v3/traces/qwen38-full-0018.parquet +2 -2
  47. bugsinpy_v3/traces/qwen38-full-0019.parquet +2 -2
  48. bugsinpy_v3/traces/qwen38-full-0020.parquet +2 -2
  49. bugsinpy_v3/traces/qwen38-full-0021.parquet +2 -2
  50. bugsinpy_v3/traces/qwen38-full-0022.parquet +2 -2
.gitattributes CHANGED
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31908
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31910
+ calibforge_v3/trace_stats/plots/qwen3.8-27b-tokens-by-outcome.pdf filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -29,15 +29,30 @@ configs:
29
  Datasets repaired and filtered using the [OT-next-data validation protocol](https://github.com/MLI-lab/OT-next-data/blob/main/validation/PROTOCOL.md).
30
 
31
  - **V1:** environment reliability and rule-based task-quality repairs. Build/setup, no-op and reference checks where reference solutions exist.
 
32
  - **V2:** keep tasks solved at least once by an evaluated model. Includes partial results where a success is already recorded; each README lists models, attempt counts and coverage.
33
 
34
- ## Dataset sizes and composition
 
 
 
 
 
 
 
 
 
 
 
 
 
 
35
 
36
  **V1: 42,166 kept, patched tasks across 8 data sources.**
37
 
38
  **V2: 7,684 tasks solved at least once across the same 8 data sources.** V2 is a subset of V1, not additional tasks.
39
 
40
- Percentages are each source's share of that version's total in the current published snapshots.
41
 
42
  | Dataset | V1 tasks | Share of V1 | V2 tasks | Share of V2 |
43
  | --- | ---: | ---: | ---: | ---: |
 
29
  Datasets repaired and filtered using the [OT-next-data validation protocol](https://github.com/MLI-lab/OT-next-data/blob/main/validation/PROTOCOL.md).
30
 
31
  - **V1:** environment reliability and rule-based task-quality repairs. Build/setup, no-op and reference checks where reference solutions exist.
32
+ - **V3:** newly solved tasks absent from v2, with the new evaluation's traces and statistics. Combine v2 and v3 for the full solved set.
33
  - **V2:** keep tasks solved at least once by an evaluated model. Includes partial results where a success is already recorded; each README lists models, attempt counts and coverage.
34
 
35
+ ## Incremental v3 releases
36
+
37
+ V3 task files contain only newly solved tasks, with no task-ID overlap with the corresponding v2 task file. Historical traces remain in v2; v3 includes every attempt from its new evaluation, successful and failed. These subsets were harder for the earlier evaluated models, not necessarily for every future model.
38
+
39
+ | Dataset | v2 tasks, available separately | Newly solved v3 tasks | Combined unique tasks |
40
+ | --- | ---: | ---: | ---: |
41
+ | [BugsInPy](bugsinpy_v3/README.md) | 65 | 406 | 471 |
42
+ | [CalibForge](calibforge_v3/README.md) | 1,512 | 2,287 | 3,799 |
43
+ | [EndlessTerminals](endless_v3/README.md) | 1,958 | 121 | 2,079 |
44
+ | [NL2Bash](nl2bash_v3/README.md) | 938 | 104 | 1,042 |
45
+ | [TermiGen](termigen_v3/README.md) | 2,277 | 230 | 2,507 |
46
+
47
+ Each release README includes a v2 + v3 loading example. Counts here describe the incremental releases published on 2026-10-26. Earlier cumulative v3 versions remain accessible by their pinned HF commit revisions.
48
+
49
+ ## Earlier v1/v2 size snapshot
50
 
51
  **V1: 42,166 kept, patched tasks across 8 data sources.**
52
 
53
  **V2: 7,684 tasks solved at least once across the same 8 data sources.** V2 is a subset of V1, not additional tasks.
54
 
55
+ The table below is an earlier snapshot and predates subsequent evaluations. For current counts, use the individual release READMEs and the v3 table above. Percentages refer to this earlier snapshot.
56
 
57
  | Dataset | V1 tasks | Share of V1 | V2 tasks | Share of V2 |
58
  | --- | ---: | ---: | ---: | ---: |
bugsinpy_v3/README.md CHANGED
@@ -3,12 +3,14 @@
3
  ## Dataset stats
4
 
5
  - **Source tasks:** 489
6
- - **Kept:** 471 (65 from v2 plus 406 newly solved by Qwen/Qwen3.8-27B)
 
 
7
  - **Excluded:** 18 (no recorded success)
8
  - **New evaluation:** 424 previously excluded tasks, 2 attempts each, 848 attempts
9
  - **New saved trajectories:** 848, successful and failed
10
 
11
- BugsInPy contains Python bug-fixing tasks from real open-source projects. Each task provides a buggy project checkout and a verifier for the target bug. `tasks.parquet` keeps all v2 tasks and adds the newly solved tasks with their evaluated payloads.
12
 
13
  ## Evaluation settings
14
 
@@ -30,7 +32,7 @@ The table reports settings found in **3 sampled saved trial configurations**, no
30
  | --- | ---: | ---: | ---: | ---: | ---: |
31
  | Qwen/Qwen3.8-27B (thinking) | 424 | 848 | 406 | 90.92% | 95.75% (k=2) |
32
 
33
- Qwen/Qwen3.8-27B solved 406 of the 424 previously excluded tasks. Together with the 65 tasks carried forward from [v2](../bugsinpy_v2/README.md), v3 keeps 471 tasks. These results cover only the new evaluation.
34
 
35
  Qwen/Qwen3.8-27B used Terminus-2, thinking enabled, temperature 1.0, top-p 0.95, top-k 20, a 32,768-token context, and an intended limit of 8,192 output tokens per model call (see evaluation settings). Each task kept its existing agent and verifier time limits. The task source is pinned to revision `3abfc632`; complete settings are in [evaluation setup](metadata/evaluation-setup.json).
36
 
@@ -46,22 +48,20 @@ Qwen/Qwen3.8-27B used Terminus-2, thinking enabled, temperature 1.0, top-p 0.95,
46
 
47
  ## Select tasks by successful-attempt count
48
 
49
- The Parquet preserves `instruct_successes`, `thinking_successes`, and `attempts_per_model` from v2, and adds `qwen38_successes`, `qwen38_attempts`, and `kept_from_v2`. For the 65 v2 tasks, `qwen38_attempts` is 0 and `qwen38_successes` is null.
50
 
51
  ```python
52
  import pyarrow.parquet as pq
53
 
54
  # Newly evaluated tasks solved exactly once.
55
  subset = pq.read_table("tasks.parquet", filters=[("qwen38_successes", "=", 1)])
56
- # Every task already kept in v2.
57
- v2_tasks = pq.read_table("tasks.parquet", filters=[("kept_from_v2", "=", True)])
58
  ```
59
 
60
  [Selection metadata](metadata/selection.json) records counts and membership for all 489 tasks, including the 18 excluded tasks.
61
 
62
  ## Traces
63
 
64
- `traces/` includes all 848 new Qwen/Qwen3.8-27B attempts, successful and failed, one row per attempt in Zstandard-compressed Parquet. Earlier traces are also preserved; use the model filter below to select the new evaluation. Columns include `task_id`, `model`, `attempt_id`, `reward`, `verifier_reward`, `retained_v2`, `retained_v3`, and full `trajectory` and `result` JSON.
65
 
66
  ```python
67
  import json
@@ -88,4 +88,25 @@ Not yet checked with the repository-leak checks added on 2026-10-17 (leftover gi
88
  | --- | ---: | ---: | ---: |
89
  | Qwen/Qwen3.8-27B | 1,172.06 s | 935.76 s | 848 |
90
 
91
- `patch.py` rebuilds `tasks.parquet` from pinned v1 and v2 sources and the published selection metadata.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  ## Dataset stats
4
 
5
  - **Source tasks:** 489
6
+ - **Kept in v3:** 406 newly solved tasks
7
+ - **Available separately in v2:** 65
8
+ - **Combined v2 + v3:** 471 unique tasks
9
  - **Excluded:** 18 (no recorded success)
10
  - **New evaluation:** 424 previously excluded tasks, 2 attempts each, 848 attempts
11
  - **New saved trajectories:** 848, successful and failed
12
 
13
+ BugsInPy contains Python bug-fixing tasks from real open-source projects. Each task provides a buggy project checkout and a verifier for the target bug. `tasks.parquet` contains only newly solved tasks with their evaluated payloads.
14
 
15
  ## Evaluation settings
16
 
 
32
  | --- | ---: | ---: | ---: | ---: | ---: |
33
  | Qwen/Qwen3.8-27B (thinking) | 424 | 848 | 406 | 90.92% | 95.75% (k=2) |
34
 
35
+ Qwen/Qwen3.8-27B solved 406 of the 424 previously excluded tasks. Combining these 406 tasks with the 65 tasks in [v2](../bugsinpy_v2/README.md) gives 471 unique tasks. These results cover only the new evaluation.
36
 
37
  Qwen/Qwen3.8-27B used Terminus-2, thinking enabled, temperature 1.0, top-p 0.95, top-k 20, a 32,768-token context, and an intended limit of 8,192 output tokens per model call (see evaluation settings). Each task kept its existing agent and verifier time limits. The task source is pinned to revision `3abfc632`; complete settings are in [evaluation setup](metadata/evaluation-setup.json).
38
 
 
48
 
49
  ## Select tasks by successful-attempt count
50
 
51
+ The Parquet preserves `instruct_successes`, `thinking_successes`, and `attempts_per_model` from v2, and adds `qwen38_successes`, `qwen38_attempts`, and `kept_from_v2`. Tasks already in v2 are not duplicated in this file.
52
 
53
  ```python
54
  import pyarrow.parquet as pq
55
 
56
  # Newly evaluated tasks solved exactly once.
57
  subset = pq.read_table("tasks.parquet", filters=[("qwen38_successes", "=", 1)])
 
 
58
  ```
59
 
60
  [Selection metadata](metadata/selection.json) records counts and membership for all 489 tasks, including the 18 excluded tasks.
61
 
62
  ## Traces
63
 
64
+ `traces/` includes all 848 new Qwen/Qwen3.8-27B attempts, successful and failed, one row per attempt in Zstandard-compressed Parquet. Earlier traces remain in v2. Columns include `task_id`, `model`, `attempt_id`, `reward`, `verifier_reward`, `retained_v2`, `retained_v3`, and full `trajectory` and `result` JSON.
65
 
66
  ```python
67
  import json
 
88
  | --- | ---: | ---: | ---: |
89
  | Qwen/Qwen3.8-27B | 1,172.06 s | 935.76 s | 848 |
90
 
91
+ `patch.py` rebuilds the incremental task file from the pinned pre-migration release and the published layout manifest.
92
+
93
+ ## Incremental release
94
+
95
+ V3 contains only tasks newly solved after v2. It has no task-ID overlap with [v2](../bugsinpy_v2/README.md). This is a harder subset relative to the earlier evaluation, not a claim of intrinsic difficulty. New-evaluation traces include both solved and unsolved tasks so the reported pass rates remain reproducible.
96
+
97
+ ```python
98
+ from huggingface_hub import hf_hub_download
99
+ import pyarrow as pa
100
+ import pyarrow.parquet as pq
101
+
102
+ def load(version):
103
+ path = hf_hub_download("FWeindel/validated-tasks",
104
+ f"bugsinpy_{version}/tasks.parquet", repo_type="dataset")
105
+ return pq.read_table(path)
106
+
107
+ v2, v3 = load("v2"), load("v3")
108
+ assert set(v2["path"].to_pylist()).isdisjoint(v3["path"].to_pylist())
109
+ combined = pa.concat_tables([v2, v3], promote_options="permissive")
110
+ ```
111
+
112
+ The example combines task rows; each source file retains its own image manifest. Use those source manifests when staging images. [Layout and provenance](metadata/layout.json) records the pinned baseline and task counts. Earlier cumulative v3 releases remain accessible through their HF commit history.
bugsinpy_v3/metadata/evaluation-settings-audit.json CHANGED
@@ -5,25 +5,7 @@
5
  "scope": "new v3 evaluation only",
6
  "method": "Sample saved result.config from first and last row groups of first, middle and last trace files; one available result per model per selected row group. This is not an exhaustive attempt audit.",
7
  "sampled_configs": 3,
8
- "evaluation_settings": [
9
- {
10
- "model": "openai/qwen38-27b",
11
- "agent": "terminus-2",
12
- "context_tokens": 32768,
13
- "intended_output_tokens_per_call": 8192,
14
- "request_output_tokens": null,
15
- "thinking": true,
16
- "sampling": {
17
- "temperature": 1.0,
18
- "top_p": 0.95,
19
- "top_k": 20,
20
- "min_p": 0.0,
21
- "presence_penalty": 0.0,
22
- "repetition_penalty": 1.0
23
- },
24
- "output_limit_status": "No explicit request cap in sampled saved configs; actual fallback cap unknown"
25
- }
26
- ],
27
  "evidence": [
28
  {
29
  "trace_file": "bugsinpy_v3/traces/qwen38-full-0000.parquet",
@@ -137,4 +119,4 @@
137
  "actual_fallback_output_cap": null,
138
  "findings": "Saved configurations use top-level max_tokens without llm_call_kwargs.max_tokens. The affected Terminus forwarding path does not send that top-level setting to the model API. No universal effective per-response token limit is established by this sample.",
139
  "fixed_code": "config/models.py:serving_agent_kwargs forwards llm_call_kwargs.max_tokens; HTTP-request regression tests cover every current registry model; this does not change historical results."
140
- }
 
5
  "scope": "new v3 evaluation only",
6
  "method": "Sample saved result.config from first and last row groups of first, middle and last trace files; one available result per model per selected row group. This is not an exhaustive attempt audit.",
7
  "sampled_configs": 3,
8
+ "evaluation_settings": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  "evidence": [
10
  {
11
  "trace_file": "bugsinpy_v3/traces/qwen38-full-0000.parquet",
 
119
  "actual_fallback_output_cap": null,
120
  "findings": "Saved configurations use top-level max_tokens without llm_call_kwargs.max_tokens. The affected Terminus forwarding path does not send that top-level setting to the model API. No universal effective per-response token limit is established by this sample.",
121
  "fixed_code": "config/models.py:serving_agent_kwargs forwards llm_call_kwargs.max_tokens; HTTP-request regression tests cover every current registry model; this does not change historical results."
122
+ }
bugsinpy_v3/metadata/history-deduplication.json ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "verified_identical_attempts": 15648,
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+ "deleted_duplicate_files": [
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+ "bugsinpy_v3/traces/v2-000.parquet",
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+ "bugsinpy_v3/traces/v2-001.parquet",
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+ "bugsinpy_v3/traces/v2-002.parquet",
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+ "bugsinpy_v3/traces/v2-003.parquet",
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+ "bugsinpy_v3/traces/v2-004.parquet",
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+ "bugsinpy_v3/traces/v2-005.parquet",
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+ "bugsinpy_v3/traces/v2-006.parquet",
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+ "bugsinpy_v3/traces/v2-007.parquet",
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+ "bugsinpy_v3/traces/v2-008.parquet",
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+ "bugsinpy_v3/traces/v2-009.parquet",
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+ "bugsinpy_v3/traces/v2-010.parquet",
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+ "bugsinpy_v3/traces/v2-011.parquet",
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+ "bugsinpy_v3/traces/v2-012.parquet",
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+ "bugsinpy_v3/traces/v2-013.parquet",
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+ "bugsinpy_v3/traces/v2-014.parquet",
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+ "bugsinpy_v3/traces/v2-015.parquet",
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+ "bugsinpy_v3/traces/v2-016.parquet",
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+ "bugsinpy_v3/traces/v2-017.parquet",
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+ "bugsinpy_v3/traces/v2-018.parquet",
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+ "bugsinpy_v3/traces/v2-019.parquet",
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+ "bugsinpy_v3/traces/v2-020.parquet",
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+ "bugsinpy_v3/traces/v2-021.parquet",
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+ "bugsinpy_v3/traces/v2-022.parquet",
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+ "bugsinpy_v3/traces/v2-023.parquet",
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+ "bugsinpy_v3/traces/v2-024.parquet",
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+ "bugsinpy_v3/traces/v2-025.parquet",
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+ "bugsinpy_v3/traces/v2-026.parquet",
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+ "bugsinpy_v3/traces/v2-027.parquet",
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+ "bugsinpy_v3/traces/v2-028.parquet",
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+ "bugsinpy_v3/traces/v2-029.parquet",
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+ "bugsinpy_v3/traces/v2-030.parquet",
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+ "bugsinpy_v3/traces/v2-031.parquet",
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+ "bugsinpy_v3/traces/v2-032.parquet",
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+ "bugsinpy_v3/traces/v2-033.parquet",
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+ "bugsinpy_v3/traces/v2-034.parquet",
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+ "bugsinpy_v3/traces/v2-035.parquet",
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+ "bugsinpy_v3/traces/v2-036.parquet",
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+ "bugsinpy-original-pandas-19",
243
+ "bugsinpy-original-pandas-2",
244
+ "bugsinpy-original-pandas-20",
245
+ "bugsinpy-original-pandas-21",
246
+ "bugsinpy-original-pandas-22",
247
+ "bugsinpy-original-pandas-23",
248
+ "bugsinpy-original-pandas-24",
249
+ "bugsinpy-original-pandas-25",
250
+ "bugsinpy-original-pandas-26",
251
+ "bugsinpy-original-pandas-27",
252
+ "bugsinpy-original-pandas-28",
253
+ "bugsinpy-original-pandas-29",
254
+ "bugsinpy-original-pandas-3",
255
+ "bugsinpy-original-pandas-30",
256
+ "bugsinpy-original-pandas-31",
257
+ "bugsinpy-original-pandas-32",
258
+ "bugsinpy-original-pandas-33",
259
+ "bugsinpy-original-pandas-34",
260
+ "bugsinpy-original-pandas-35",
261
+ "bugsinpy-original-pandas-36",
262
+ "bugsinpy-original-pandas-37",
263
+ "bugsinpy-original-pandas-38",
264
+ "bugsinpy-original-pandas-39",
265
+ "bugsinpy-original-pandas-4",
266
+ "bugsinpy-original-pandas-40",
267
+ "bugsinpy-original-pandas-41",
268
+ "bugsinpy-original-pandas-42",
269
+ "bugsinpy-original-pandas-43",
270
+ "bugsinpy-original-pandas-44",
271
+ "bugsinpy-original-pandas-45",
272
+ "bugsinpy-original-pandas-46",
273
+ "bugsinpy-original-pandas-47",
274
+ "bugsinpy-original-pandas-48",
275
+ "bugsinpy-original-pandas-49",
276
+ "bugsinpy-original-pandas-5",
277
+ "bugsinpy-original-pandas-50",
278
+ "bugsinpy-original-pandas-51",
279
+ "bugsinpy-original-pandas-52",
280
+ "bugsinpy-original-pandas-53",
281
+ "bugsinpy-original-pandas-54",
282
+ "bugsinpy-original-pandas-55",
283
+ "bugsinpy-original-pandas-56",
284
+ "bugsinpy-original-pandas-57",
285
+ "bugsinpy-original-pandas-58",
286
+ "bugsinpy-original-pandas-59",
287
+ "bugsinpy-original-pandas-6",
288
+ "bugsinpy-original-pandas-60",
289
+ "bugsinpy-original-pandas-61",
290
+ "bugsinpy-original-pandas-62",
291
+ "bugsinpy-original-pandas-63",
292
+ "bugsinpy-original-pandas-64",
293
+ "bugsinpy-original-pandas-65",
294
+ "bugsinpy-original-pandas-66",
295
+ "bugsinpy-original-pandas-67",
296
+ "bugsinpy-original-pandas-68",
297
+ "bugsinpy-original-pandas-69",
298
+ "bugsinpy-original-pandas-7",
299
+ "bugsinpy-original-pandas-70",
300
+ "bugsinpy-original-pandas-71",
301
+ "bugsinpy-original-pandas-72",
302
+ "bugsinpy-original-pandas-73",
303
+ "bugsinpy-original-pandas-74",
304
+ "bugsinpy-original-pandas-75",
305
+ "bugsinpy-original-pandas-76",
306
+ "bugsinpy-original-pandas-77",
307
+ "bugsinpy-original-pandas-78",
308
+ "bugsinpy-original-pandas-79",
309
+ "bugsinpy-original-pandas-8",
310
+ "bugsinpy-original-pandas-80",
311
+ "bugsinpy-original-pandas-81",
312
+ "bugsinpy-original-pandas-82",
313
+ "bugsinpy-original-pandas-83",
314
+ "bugsinpy-original-pandas-84",
315
+ "bugsinpy-original-pandas-85",
316
+ "bugsinpy-original-pandas-86",
317
+ "bugsinpy-original-pandas-87",
318
+ "bugsinpy-original-pandas-88",
319
+ "bugsinpy-original-pandas-89",
320
+ "bugsinpy-original-pandas-9",
321
+ "bugsinpy-original-pandas-90",
322
+ "bugsinpy-original-pandas-91",
323
+ "bugsinpy-original-pandas-92",
324
+ "bugsinpy-original-pandas-93",
325
+ "bugsinpy-original-pandas-94",
326
+ "bugsinpy-original-pandas-95",
327
+ "bugsinpy-original-pandas-96",
328
+ "bugsinpy-original-pandas-97",
329
+ "bugsinpy-original-pandas-98",
330
+ "bugsinpy-original-pandas-99",
331
+ "bugsinpy-original-pysnooper-1",
332
+ "bugsinpy-original-pysnooper-2",
333
+ "bugsinpy-original-pysnooper-3",
334
+ "bugsinpy-original-sanic-1",
335
+ "bugsinpy-original-sanic-2",
336
+ "bugsinpy-original-sanic-3",
337
+ "bugsinpy-original-sanic-4",
338
+ "bugsinpy-original-sanic-5",
339
+ "bugsinpy-original-scrapy-15",
340
+ "bugsinpy-original-scrapy-25",
341
+ "bugsinpy-original-scrapy-26",
342
+ "bugsinpy-original-scrapy-3",
343
+ "bugsinpy-original-scrapy-33",
344
+ "bugsinpy-original-scrapy-6",
345
+ "bugsinpy-original-scrapy-8",
346
+ "bugsinpy-original-spacy-1",
347
+ "bugsinpy-original-spacy-10",
348
+ "bugsinpy-original-spacy-2",
349
+ "bugsinpy-original-spacy-3",
350
+ "bugsinpy-original-spacy-4",
351
+ "bugsinpy-original-spacy-5",
352
+ "bugsinpy-original-spacy-6",
353
+ "bugsinpy-original-spacy-7",
354
+ "bugsinpy-original-spacy-8",
355
+ "bugsinpy-original-spacy-9",
356
+ "bugsinpy-original-thefuck-1",
357
+ "bugsinpy-original-thefuck-10",
358
+ "bugsinpy-original-thefuck-11",
359
+ "bugsinpy-original-thefuck-12",
360
+ "bugsinpy-original-thefuck-13",
361
+ "bugsinpy-original-thefuck-14",
362
+ "bugsinpy-original-thefuck-15",
363
+ "bugsinpy-original-thefuck-17",
364
+ "bugsinpy-original-thefuck-18",
365
+ "bugsinpy-original-thefuck-19",
366
+ "bugsinpy-original-thefuck-2",
367
+ "bugsinpy-original-thefuck-20",
368
+ "bugsinpy-original-thefuck-21",
369
+ "bugsinpy-original-thefuck-22",
370
+ "bugsinpy-original-thefuck-23",
371
+ "bugsinpy-original-thefuck-24",
372
+ "bugsinpy-original-thefuck-25",
373
+ "bugsinpy-original-thefuck-26",
374
+ "bugsinpy-original-thefuck-27",
375
+ "bugsinpy-original-thefuck-28",
376
+ "bugsinpy-original-thefuck-29",
377
+ "bugsinpy-original-thefuck-30",
378
+ "bugsinpy-original-thefuck-31",
379
+ "bugsinpy-original-thefuck-32",
380
+ "bugsinpy-original-thefuck-4",
381
+ "bugsinpy-original-thefuck-5",
382
+ "bugsinpy-original-thefuck-6",
383
+ "bugsinpy-original-thefuck-7",
384
+ "bugsinpy-original-thefuck-8",
385
+ "bugsinpy-original-thefuck-9",
386
+ "bugsinpy-original-tornado-10",
387
+ "bugsinpy-original-tornado-12",
388
+ "bugsinpy-original-tornado-13",
389
+ "bugsinpy-original-tornado-16",
390
+ "bugsinpy-original-tornado-2",
391
+ "bugsinpy-original-tornado-4",
392
+ "bugsinpy-original-tqdm-1",
393
+ "bugsinpy-original-tqdm-2",
394
+ "bugsinpy-original-tqdm-3",
395
+ "bugsinpy-original-tqdm-4",
396
+ "bugsinpy-original-tqdm-5",
397
+ "bugsinpy-original-tqdm-6",
398
+ "bugsinpy-original-tqdm-7",
399
+ "bugsinpy-original-tqdm-8",
400
+ "bugsinpy-original-tqdm-9",
401
+ "bugsinpy-original-youtube-dl-10",
402
+ "bugsinpy-original-youtube-dl-14",
403
+ "bugsinpy-original-youtube-dl-15",
404
+ "bugsinpy-original-youtube-dl-20",
405
+ "bugsinpy-original-youtube-dl-22",
406
+ "bugsinpy-original-youtube-dl-24",
407
+ "bugsinpy-original-youtube-dl-26",
408
+ "bugsinpy-original-youtube-dl-29",
409
+ "bugsinpy-original-youtube-dl-3",
410
+ "bugsinpy-original-youtube-dl-30",
411
+ "bugsinpy-original-youtube-dl-31",
412
+ "bugsinpy-original-youtube-dl-32",
413
+ "bugsinpy-original-youtube-dl-33",
414
+ "bugsinpy-original-youtube-dl-34",
415
+ "bugsinpy-original-youtube-dl-4",
416
+ "bugsinpy-original-youtube-dl-8",
417
+ "bugsinpy-original-youtube-dl-9"
418
+ ],
419
+ "tasks_sha256": "f939bb42311d3df0946b77a4f0d0637ec6e5fecd62d5b573e09a0da761e84aed"
420
+ }
bugsinpy_v3/metadata/previous-cumulative-patch.py ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Rebuild BugsInPy v3 tasks.parquet from pinned v1/v2 payloads and metadata/selection.json.
2
+
3
+ pip install pyarrow huggingface_hub
4
+ python patch.py --out rebuilt
5
+ Optional --source-dir holds v1.parquet and v2.parquet for offline reproduction.
6
+ """
7
+ import argparse,hashlib,json
8
+ from pathlib import Path
9
+ import pyarrow as pa
10
+ import pyarrow.parquet as pq
11
+
12
+ def build(out, source_dir=None):
13
+ root=Path(__file__).parent
14
+ m=json.loads((root/'metadata/selection.json').read_text())
15
+ def source(version,revision):
16
+ if source_dir:return source_dir/f'{version}.parquet'
17
+ from huggingface_hub import hf_hub_download
18
+ return Path(hf_hub_download(m['repo_id'],f'bugsinpy_{version}/tasks.parquet',repo_type='dataset',revision=revision,cache_dir=out/'.source-cache'))
19
+ out.mkdir(parents=True,exist_ok=True)
20
+ target=out/'tasks.parquet'
21
+ if target.exists():raise ValueError(f'{target} already exists')
22
+ v1=source('v1',m['evaluation_source_revision']);v2=source('v2',m['v2_revision'])
23
+ with v1.open('rb') as f:assert hashlib.file_digest(f,'sha256').hexdigest()==m['evaluation_source_sha256']
24
+ old=pq.ParquetFile(v2);oldrows={r['path']:r for b in old.iter_batches(batch_size=1) for r in b.to_pylist()}
25
+ pf=pq.ParquetFile(v1);kept={t for t,e in m['tasks'].items() if e['kept']}
26
+ schema=pa.schema([*old.schema_arrow,pa.field('qwen38_successes',pa.int64()),pa.field('qwen38_attempts',pa.int64()),pa.field('kept_from_v2',pa.bool_())])
27
+ md=dict(old.schema_arrow.metadata or {});im=json.loads(pf.schema_arrow.metadata[b'ot.images.v1'])
28
+ im['tasks']={t:e for t,e in im['tasks'].items() if t in kept};used={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 used};im['missing']=[x for x in im.get('missing',[]) if x.get('task') in kept]
29
+ md[b'ot.images.v1']=json.dumps(im).encode();md[b'ot.release.v3']=json.dumps({k:v for k,v in m.items() if k!='tasks'}).encode();schema=schema.with_metadata(md)
30
+ count=0
31
+ with pq.ParquetWriter(target,schema,compression='zstd') as writer:
32
+ for b in pf.iter_batches(batch_size=1):
33
+ row=b.to_pylist()[0];t=row['path']
34
+ if t not in kept:continue
35
+ e=m['tasks'][t]
36
+ if t in oldrows:row=oldrows[t]
37
+ else:
38
+ assert row['content_sha256']==e['models']['qwen3.8-27b']['evaluated_content_sha256']
39
+ row.update(instruct_successes=e['models']['qwen3-30b-instruct-2507']['solved_attempts'],thinking_successes=e['models']['qwen3-30b-thinking']['solved_attempts'],attempts_per_model=16)
40
+ row.update(qwen38_successes=e['qwen38_successes'],qwen38_attempts=e['qwen38_attempts'],kept_from_v2=e['kept_v2'])
41
+ writer.write_table(pa.Table.from_pylist([row],schema=schema));count+=1
42
+ assert count==m['kept']==471 and set(oldrows)<=kept
43
+ print(f'Wrote {count} tasks to {target}')
44
+
45
+ if __name__=='__main__':
46
+ p=argparse.ArgumentParser(description=__doc__);p.add_argument('--out',type=Path,required=True);p.add_argument('--source-dir',type=Path);a=p.parse_args();build(a.out,a.source_dir)
bugsinpy_v3/metadata/previous-release-verification.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "tasks": 471,
3
+ "v2_rows_preserved_exactly": 65,
4
+ "newly_solved_tasks": 406,
5
+ "excluded_tasks": 18,
6
+ "trace_rows_by_model": {
7
+ "qwen3.8-27b": 848,
8
+ "qwen3-30b-instruct-2507": 7824,
9
+ "qwen3-30b-thinking": 7824
10
+ },
11
+ "successful_attempts_by_model": {
12
+ "qwen3.8-27b": 771,
13
+ "qwen3-30b-instruct-2507": 245,
14
+ "qwen3-30b-thinking": 178
15
+ },
16
+ "missing_trajectories": 0,
17
+ "verified_unique_attempts": 16496,
18
+ "task_content_hashes_matched": true,
19
+ "all_v2_columns_and_payloads_preserved": true,
20
+ "reproduced_tasks_sha256": "42323e804314d0077e5056d11e9e0d8f0f4f7c883e6140ebca8569a69b581f14"
21
+ }
bugsinpy_v3/metadata/release-verification.json CHANGED
@@ -1,21 +1,15 @@
1
  {
2
- "tasks": 471,
3
- "v2_rows_preserved_exactly": 65,
4
- "newly_solved_tasks": 406,
5
- "excluded_tasks": 18,
6
- "trace_rows_by_model": {
7
- "qwen3.8-27b": 848,
8
- "qwen3-30b-instruct-2507": 7824,
9
- "qwen3-30b-thinking": 7824
10
- },
11
- "successful_attempts_by_model": {
12
- "qwen3.8-27b": 771,
13
- "qwen3-30b-instruct-2507": 245,
14
- "qwen3-30b-thinking": 178
15
- },
16
- "missing_trajectories": 0,
17
- "verified_unique_attempts": 16496,
18
- "task_content_hashes_matched": true,
19
- "all_v2_columns_and_payloads_preserved": true,
20
- "reproduced_tasks_sha256": "42323e804314d0077e5056d11e9e0d8f0f4f7c883e6140ebca8569a69b581f14"
21
- }
 
1
  {
2
+ "layout": "incremental",
3
+ "kept": 406,
4
+ "baseline_kept": 65,
5
+ "combined_kept": 471,
6
+ "baseline_folder": "bugsinpy_v2",
7
+ "baseline_revision": "a8acfde13cc1be1672da3d17ee70bc4d842b4c19",
8
+ "carried_from_v2": 0,
9
+ "new_attempts": 848,
10
+ "tasks_sha256": "f939bb42311d3df0946b77a4f0d0637ec6e5fecd62d5b573e09a0da761e84aed",
11
+ "task_ids_disjoint_from_v2": true,
12
+ "original_task_rows_preserved": true,
13
+ "historical_trace_records_verified_in_v2": 15648,
14
+ "new_evaluation_unchanged": true
15
+ }
 
 
 
 
 
 
bugsinpy_v3/metadata/selection.json CHANGED
The diff for this file is too large to render. See raw diff
 
bugsinpy_v3/patch.py CHANGED
@@ -1,46 +1,22 @@
1
- """Rebuild BugsInPy v3 tasks.parquet from pinned v1/v2 payloads and metadata/selection.json.
2
-
3
- pip install pyarrow huggingface_hub
4
- python patch.py --out rebuilt
5
- Optional --source-dir holds v1.parquet and v2.parquet for offline reproduction.
6
  """
7
  import argparse,hashlib,json
8
  from pathlib import Path
9
- import pyarrow as pa
10
- import pyarrow.parquet as pq
11
-
12
- def build(out, source_dir=None):
13
- root=Path(__file__).parent
14
- m=json.loads((root/'metadata/selection.json').read_text())
15
- def source(version,revision):
16
- if source_dir:return source_dir/f'{version}.parquet'
17
- from huggingface_hub import hf_hub_download
18
- return Path(hf_hub_download(m['repo_id'],f'bugsinpy_{version}/tasks.parquet',repo_type='dataset',revision=revision,cache_dir=out/'.source-cache'))
19
- out.mkdir(parents=True,exist_ok=True)
20
- target=out/'tasks.parquet'
21
- if target.exists():raise ValueError(f'{target} already exists')
22
- v1=source('v1',m['evaluation_source_revision']);v2=source('v2',m['v2_revision'])
23
- with v1.open('rb') as f:assert hashlib.file_digest(f,'sha256').hexdigest()==m['evaluation_source_sha256']
24
- old=pq.ParquetFile(v2);oldrows={r['path']:r for b in old.iter_batches(batch_size=1) for r in b.to_pylist()}
25
- pf=pq.ParquetFile(v1);kept={t for t,e in m['tasks'].items() if e['kept']}
26
- schema=pa.schema([*old.schema_arrow,pa.field('qwen38_successes',pa.int64()),pa.field('qwen38_attempts',pa.int64()),pa.field('kept_from_v2',pa.bool_())])
27
- md=dict(old.schema_arrow.metadata or {});im=json.loads(pf.schema_arrow.metadata[b'ot.images.v1'])
28
- im['tasks']={t:e for t,e in im['tasks'].items() if t in kept};used={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 used};im['missing']=[x for x in im.get('missing',[]) if x.get('task') in kept]
29
- md[b'ot.images.v1']=json.dumps(im).encode();md[b'ot.release.v3']=json.dumps({k:v for k,v in m.items() if k!='tasks'}).encode();schema=schema.with_metadata(md)
30
- count=0
31
- with pq.ParquetWriter(target,schema,compression='zstd') as writer:
32
- for b in pf.iter_batches(batch_size=1):
33
- row=b.to_pylist()[0];t=row['path']
34
- if t not in kept:continue
35
- e=m['tasks'][t]
36
- if t in oldrows:row=oldrows[t]
37
- else:
38
- assert row['content_sha256']==e['models']['qwen3.8-27b']['evaluated_content_sha256']
39
- row.update(instruct_successes=e['models']['qwen3-30b-instruct-2507']['solved_attempts'],thinking_successes=e['models']['qwen3-30b-thinking']['solved_attempts'],attempts_per_model=16)
40
- row.update(qwen38_successes=e['qwen38_successes'],qwen38_attempts=e['qwen38_attempts'],kept_from_v2=e['kept_v2'])
41
- writer.write_table(pa.Table.from_pylist([row],schema=schema));count+=1
42
- assert count==m['kept']==471 and set(oldrows)<=kept
43
- print(f'Wrote {count} tasks to {target}')
44
 
 
 
 
 
 
 
 
 
 
 
 
 
45
  if __name__=='__main__':
46
- p=argparse.ArgumentParser(description=__doc__);p.add_argument('--out',type=Path,required=True);p.add_argument('--source-dir',type=Path);a=p.parse_args();build(a.out,a.source_dir)
 
1
+ """Reproduce the incremental v3 task set from the pinned pre-migration release.
2
+ Requires pyarrow and huggingface_hub. Does not rerun evaluation.
 
 
 
3
  """
4
  import argparse,hashlib,json
5
  from pathlib import Path
6
+ import pyarrow as pa,pyarrow.parquet as pq
7
+ from huggingface_hub import hf_hub_download
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8
 
9
+ def build(out):
10
+ root=Path(__file__).parent;m=json.loads((root/'metadata/layout.json').read_text())
11
+ p=hf_hub_download('FWeindel/validated-tasks','bugsinpy_v3/tasks.parquet',repo_type='dataset',revision=m['previous_cumulative_revision'])
12
+ assert hashlib.sha256(Path(p).read_bytes()).hexdigest()==m['previous_tasks_sha256']
13
+ t=pq.read_table(p);ids=set(m['task_ids']);t=t.filter(pa.array([x in ids for x in t['path'].to_pylist()]));assert set(t['path'].to_pylist())==ids
14
+ meta=dict(t.schema.metadata or {})
15
+ if b'ot.images.v1' in meta:
16
+ im=json.loads(meta[b'ot.images.v1']);im['tasks']={k:v for k,v in im['tasks'].items() if k in ids};used={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 used};im['coverage']={'cached_tasks':len(im['tasks']),'total_tasks':len(ids)}
17
+ if 'uncached_task_ids' in im:im['uncached_task_ids']=sorted(ids-set(im['tasks']))
18
+ meta[b'ot.images.v1']=json.dumps(im).encode()
19
+ release=json.loads(meta.get(b'ot.release.v3',b'{}'));release.update({k:m[k] for k in ['layout','kept','baseline_kept','combined_kept','baseline_folder','baseline_revision','carried_from_v2']});meta[b'ot.release.v3']=json.dumps(release).encode()
20
+ pq.write_table(t.replace_schema_metadata(meta),out,compression='zstd')
21
  if __name__=='__main__':
22
+ p=argparse.ArgumentParser();p.add_argument('--out',type=Path,required=True);a=p.parse_args();build(a.out)
bugsinpy_v3/tasks.parquet CHANGED
@@ -1,3 +1,3 @@
1
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bugsinpy_v3/trace_stats/README.md CHANGED
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1
  # Trajectory statistics
2
 
3
- 848 new Qwen/Qwen3.8-27B attempts across 424 evaluated tasks, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
4
 
5
  | Metric | Qwen/Qwen3.8-27B |
6
  | --- | ---: |
@@ -15,32 +15,38 @@ Medians use recorded measurements only.
15
 
16
  ## Plots
17
 
18
- ![Trace measurements](plots/qwen3.8-27b-trace-distributions.png)
19
 
20
- ![Trace outcomes](plots/qwen3.8-27b-trace-outcomes.png)
21
 
22
- ![Most frequent commands](plots/qwen3.8-27b-trace-commands.png)
23
 
24
  Commands are counted as submitted, not as successful executions.
25
 
 
 
26
  ## Data
27
 
28
- The detailed files preserve all evaluations. Select `qwen3.8-27b` in the `model` column of [per-task metrics](data/per_task.parquet) and [per-attempt metrics](data/per_attempt.parquet), or use `models["qwen3.8-27b"]` in the [summary](data/summary.json), for the new evaluation. Nested metrics are stored as JSON. [Provenance](data/provenance.json) records source files and deduplication.
 
 
 
 
 
29
 
30
- Earlier evaluation statistics are in the [v2 overview](../../bugsinpy_v2/trace_stats/README.md).
31
 
32
- New attempts without a saved conversation: 0; without a verifier reward: 3. Missing measurements stay empty.
33
 
34
- ## Evaluation settings
35
 
36
- Context is the total prompt plus response window for one model call. The response budget includes reasoning tokens and is not a whole-attempt token budget.
37
 
38
- | Model | Context tokens (configured) | Intended response tokens per call | Output-limit evidence | Thinking | Sampling |
39
- | --- | ---: | ---: | --- | --- | --- |
40
- | Qwen/Qwen3.8-27B | 32768 | 8192 | No explicit request cap in sampled saved configs; actual fallback cap unknown | on | {"min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0, "temperature": 1.0, "top_k": 20, "top_p": 0.95} |
41
 
42
- Configured limits are not measurements of token usage. A missing explicit response cap does not mean unlimited generation: the serving context, backend defaults, stopping conditions and task timeouts still apply. Unknown historical settings are not filled from current model defaults.
 
 
43
 
44
- **Historical output-limit bug:** the intended per-response limit was stored as top-level `max_tokens`, but the affected Terminus path did not forward it as `llm_call_kwargs.max_tokens`. Thus these sampled runs did not request the intended explicit cap. Generation instead depended on the backend's fallback allowance, available context, stopping conditions and agent timeout. The exact fallback limit is not established by the saved configurations; it must not be reported as 8,192 or 16,384 enforced tokens, or as unlimited.
45
 
46
- The table reports settings found in **3 sampled saved trial configurations**, not an exhaustive audit of every attempt or direct proof of server settings. Historical runs and retries may differ. Sampling values are recorded explicitly rather than inferred from today's model-card defaults. Agent and verifier wall-clock budgets remain task-specific; sampled resolved limits are in [settings and evidence](../metadata/evaluation-settings-audit.json). Context is not the sum of tokens across all turns. The current forwarding fix does not retroactively change these pass@k results.
 
1
  # Trajectory statistics
2
 
3
+ 848 attempts across 424 tasks of bugsinpy_v3, kept and excluded, each counted once. Task success counts are in the [dataset overview](../README.md).
4
 
5
  | Metric | Qwen/Qwen3.8-27B |
6
  | --- | ---: |
 
15
 
16
  ## Plots
17
 
18
+ ![Trace measurements](plots/all-models-trace-distributions.png)
19
 
20
+ ![Trace outcomes](plots/all-models-trace-outcomes.png)
21
 
22
+ ![Most frequent commands](plots/all-models-trace-commands.png)
23
 
24
  Commands are counted as submitted, not as successful executions.
25
 
26
+ Per-model plots: [Qwen/Qwen3.8-27B commands](plots/qwen3.8-27b-trace-commands.png), [Qwen/Qwen3.8-27B distributions](plots/qwen3.8-27b-trace-distributions.png), [Qwen/Qwen3.8-27B outcomes](plots/qwen3.8-27b-trace-outcomes.png).
27
+
28
  ## Data
29
 
30
+ - [Summary](data/summary.json): overall and per-model statistics.
31
+ - [Per-task metrics](data/per_task.parquet) and [per-attempt metrics](data/per_attempt.parquet), with nested metrics stored as JSON.
32
+ - [Provenance](data/provenance.json): source files and deduplication.
33
+
34
+ Attempts without a saved conversation: 0; without a verifier reward: 3. Their missing measurements stay empty.
35
+
36
 
37
+ Evaluation budgets: see the [dataset evaluation setup](../README.md). Per-call context and output-limit enforcement are not established by token-usage statistics.
38
 
 
39
 
40
+ ## Token usage and summarization
41
 
42
+ All published traces are included, covering kept and excluded tasks and every verifier outcome. One trace means one task attempt.
43
 
44
+ ![Output, summarization, and context distributions](plots/all-models-tokens-by-outcome.png)
 
 
45
 
46
+ - **Output per recorded agent step:** successful, graded unsuccessful, and ungraded attempts shown separately. Each step contributes once.
47
+ - **Summarizations per trace:** one combined distribution across all traces with a recorded count, including zero.
48
+ - **Peak context per trace:** the largest recorded step prompt + output count in each trace, separated into traces with and without summarization. Unknown summary counts are kept separate when present. Each trace contributes once, regardless of its length or outcome.
49
 
50
+ [Detailed statistics](data/tokens-by-outcome.json) retain sample counts and missing measurements. Missing summary counts are not zero. ATIF steps can aggregate multiple requests, so recorded context does not establish an exact per-call context limit.
51
 
52
+ This folder reports the new evaluation only. Task membership is incremental: tasks already in v2 are not duplicated in v3. Historical conversations remain in v2. See the [release overview](../README.md) for counts and combination instructions.
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