Datasets:
File size: 4,658 Bytes
6a0f908 88f4c35 6a0f908 88f4c35 6a0f908 f68e6b9 6a0f908 a4df902 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 | # CrossCodeEval v2
## Dataset stats
- **6,710 v1 tasks → 863 retained; 5,847 newly archived.** All 863 retain their v1 repairs; v2 changes no task instructions, environments, verifiers or reference solutions.
- **7,763 original tasks: 863 retained and 6,900 archived**, including 1,053 earlier v1 exclusions.
- **Images:** the original 3 image definitions were not consolidated. Retained tasks reuse the 3 [v1 cached images](https://huggingface.co/datasets/FWeindel/validated-tasks/tree/main/crosscodeeval_v1/cached_images), pinned by immutable revision and checksum in the Parquet. No image copies are needed in v2.
## Dataset characteristics
Cross-file code completion in C#, Java, Python and TypeScript, with related-file context and executable verifiers.
<details><summary>Domains</summary>
Software Engineering; Code Completion; Cross-file Repository Understanding.
</details>
<details><summary>Capabilities</summary>
Read related files, resolve identifiers, follow existing code patterns and complete missing statements.
</details>
**Likely transfer targets:** cross-file code completion and repository understanding.
## Pass@16 filtering
Keep a task if either model solved it at least once. Both models completed 16 attempts on every v1 task. Recorded terminal failures count as unsuccessful attempts; unsolved tasks are not necessarily defective.
| Model | Tasks evaluated | Attempts | Tasks solved at least once |
| --- | ---: | ---: | ---: |
| Qwen3-30B Instruct | 6,710 | 107,360 | 641 |
| Qwen3-30B Thinking | 6,710 | 107,360 | 627 |
| Either model | 6,710 | 214,720 | **863** |
Successful-attempt distribution **among the 863 retained tasks**. Each model column totals 863; rows with zero tasks for both models are omitted. A task with 0/16 for one model was solved by the other.
| Successful attempts | Instruct tasks | Thinking tasks |
| --- | ---: | ---: |
| 0/16 | 222 | 236 |
| 1/16 | 222 | 193 |
| 2/16 | 70 | 94 |
| 3/16 | 57 | 64 |
| 4/16 | 40 | 51 |
| 5/16 | 38 | 36 |
| 6/16 | 33 | 22 |
| 7/16 | 33 | 24 |
| 8/16 | 20 | 24 |
| 9/16 | 22 | 21 |
| 10/16 | 17 | 16 |
| 11/16 | 21 | 16 |
| 12/16 | 18 | 19 |
| 13/16 | 17 | 12 |
| 14/16 | 13 | 13 |
| 15/16 | 7 | 7 |
| 16/16 | 13 | 15 |
The retained tasks inherit v1's rule-based repairs, build checks, reference reward 1 and no-op reward 0. Teacher runs used the same task contents without the timeout/anti-cheating sentence; v2 preserves that v1 sentence. [V1 repair details](https://huggingface.co/datasets/FWeindel/validated-tasks/blob/main/crosscodeeval_v1/README.md) · [Teacher results](https://huggingface.co/datasets/FWeindel/validated-tasks/discussions/6).
## Select tasks by successful-attempt count
`tasks.parquet` includes `instruct_successes`, `thinking_successes` and `attempts_per_model` (16). Counts are also available in [selection.json](assets/selection.json). Excluded payloads remain in the pinned v1 source recorded in `selection.json`; no duplicate archive Parquet is uploaded.
```python
import pyarrow.parquet as pq
# Exactly 1 successful attempt out of 16 for Instruct:
filters = [("instruct_successes", "=", 1)]
# Alternatively, at least 3 successes for either model:
# filters = [[("instruct_successes", ">=", 3)],
# [("thinking_successes", ">=", 3)]]
subset = pq.read_table("tasks.parquet", filters=filters)
pq.write_table(subset, "selected.parquet")
```
`patch.py` reproduces the release from the pinned v1 Parquets and recorded counts.
## Runtime
- **Versions:** Apptainer **1.5.4**, Python **3.12.14**, Harbor **0.8.1**.
- **Implementation:** [Marin Harbor `7faf878c14b6`](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) + [our runtime patches](https://github.com/MLI-lab/OT-next-data/tree/main/harbor_patches).
## Traces
[Trace Parquets](traces) contain **214,720 attempts**, including successful and failed attempts from every evaluated task, retained or excluded. Zstandard-compressed, one row per attempt; **1** rows have no saved conversation and are marked `trajectory_found=false`.
Columns include `task_id`, `model`, `attempt_id`, `reward`, `verifier_reward`, `retained_v2`, `trajectory_found`, and the full `trajectory` and `result` JSON. `reward` follows the published evaluation policy; `verifier_reward` preserves the raw verifier score. The manifest pins the original trace source.
```python
import json
import pyarrow.dataset as ds
traces = ds.dataset("traces", format="parquet", exclude_invalid_files=True)
failed = traces.to_table(filter=(ds.field("reward") == 0) & ds.field("trajectory_found"))
conversation = json.loads(failed["trajectory"][0].as_py())
```
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