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license: mit
tags: [code, assertion-completion, repository-level]
configs:
- config_name: default
data_files:
- split: train
path: qna/train.parquet
- split: ir_val
path: qna/ir_val.parquet
- split: ir_test
path: qna/ir_test.parquet
- split: cr_val
path: qna/cr_val.parquet
- split: cr_test
path: qna/cr_test.parquet
- split: ood_test
path: qna/ood_test.parquet
---
# code2lora-data-snapshots — static-snapshot RepoPeftBench
One row per (repository, anchor commit) for the **direct-projection
Code2LoRA** trainer. Each commit row carries a 2048-dim
Qwen3-Embedding repo-state vector; each QnA row is a single assertion
extracted from a held-out test file at that snapshot.
## Layout
```
commits/
train.parquet 400 anchor commits (one per train repo)
ir_val.parquet in-repo-val snapshots from train repos
ir_test.parquet in-repo-test snapshots from train repos
cr_val.parquet held-out cr-val repos
cr_test.parquet held-out cr-test repos
ood_test.parquet post-cutoff OOD repos
qna/
<same suite names> matching assertion rows for each commit row
```
Splits are **named directly by paper suite** -- no extra filtering needed.
## Companion datasets
* `code2lora/code2lora-data-commits` per-commit metadata + diff embeddings (for GRU)
* `code2lora/code2lora-data-smartcap` smart-capped per-commit QnAs (GRU training loss)
* `code2lora/code2lora-data-ood` full OOD commit-derived split
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