Datasets:
metadata
license: mit
pretty_name: Code2LoRA-Static (static track, single snapshot)
tags:
- code
- assertion-completion
- repository-level
configs:
- config_name: qna
data_files:
- split: train
path: qna/train.parquet
- split: cr_val
path: qna/cr_val.parquet
- split: cr_test
path: qna/cr_test.parquet
- split: ir_val
path: qna/ir_val.parquet
- split: ir_test
path: qna/ir_test.parquet
- config_name: repos
data_files:
- split: train
path: repos/train.parquet
- split: cr_val
path: repos/cr_val.parquet
- split: cr_test
path: repos/cr_test.parquet
Code2LoRA-Static — static track (single snapshot)
The Static track of RepoPeftBench exactly as consumed by the paper's
main-results table (Code2LoRA-Static, single anchor snapshot per
repository). Contains only the paper-used QnAs (post quality-filter). For
the out-of-distribution slice see code2lora/repopeftbench-ood.
| config | split | rows |
|---|---|---|
| qna | train | 39,612 |
| qna | cr_val | 6,213 |
| qna | cr_test | 6,414 |
| qna | ir_val | 4,833 |
| qna | ir_test | 5,222 |
| repos | train / cr_val / cr_test | 409 / 51 / 52 |
qna— one row per assertion pair (repo_id, prefix, target, assertion_type, difficulty, test_file, test_function, test_class, lineno, commit_idx).repos— frozen 2048-d Qwen3-Embedding repo-state vector per repo (repo_id, embedding); IR suites reuse the train-repo embeddings.
from datasets import load_dataset
qna = load_dataset("code2lora/code2lora-static", "qna")
repos = load_dataset("code2lora/code2lora-static", "repos")
Companion datasets: code2lora/code2lora-evo,
code2lora/code2lora-static-anchor, code2lora/repopeftbench-ood.