File size: 1,939 Bytes
384af4c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
license: mit
tags: [code, assertion-completion, repository-level]
---

# code2lora-data-commits — per-commit dataset (GRU)

One parquet row per (repository, kept commit), carrying:

* `commit_sha`, `commit_index`, `commit_timestamp`
* `production_code_diff` -- diff vs the previous kept commit
* `diff_embedding`         -- Qwen3-Embedding of the diff (fp16, [2048])
* `repo_state_embedding`   -- Qwen3-Embedding of the full repo state at this
  commit (fp16, [2048])
* `cross_repo_split`, `in_repo_split` -- the two split labels (see below)

## Layout

```
commits/
  cr_train.parquet    commits from the 400 train repos
  cr_val.parquet      commits from held-out cr-val repos
  cr_test.parquet     commits from held-out cr-test repos
  ood_test.parquet    commits from the post-cutoff OOD repos
```

## Split semantics

Two independent split axes:

* `cross_repo_split ∈ {train, cr_val, cr_test}` -- which **repositories** the model has seen.
* `in_repo_split ∈ {train, val, test}` -- chronological 80/10/10 split of each repo's **commits**.

The four evaluation suites used in the paper map onto these axes as follows:

| Paper suite | File | Selection |
|---|---|---|
| Train (loss) | `qna/cr_train.parquet`  | `in_repo_split == "train"` |
| IR val       | `qna/cr_train.parquet`  | `in_repo_split == "val"`   |
| IR test      | `qna/cr_train.parquet`  | `in_repo_split == "test"`  |
| CR val       | `qna/cr_val.parquet`    | all rows                     |
| CR test      | `qna/cr_test.parquet`   | all rows                     |

All evaluation suites use the **full uncapped** assertion set. Only the in-repo train loss path is smart-capped (see `code2lora/code2lora-data-smartcap`).

## Companion datasets

* `code2lora/code2lora-data-smartcap`  smart-capped per-commit QnAs for training
* `code2lora/code2lora-data-snapshots` static-snapshot variant
* `code2lora/code2lora-data-ood`       OOD repos in the same schema