README.md

metadata

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