Datasets:
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README.md
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---
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license: mit
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tags: [code, assertion-completion, repository-level]
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---
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# code2lora-data-commits — per-commit dataset (GRU)
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One parquet row per (repository, kept commit), carrying:
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* `commit_sha`, `commit_index`, `commit_timestamp`
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* `production_code_diff` -- diff vs the previous kept commit
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* `diff_embedding` -- Qwen3-Embedding of the diff (fp16, [2048])
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* `repo_state_embedding` -- Qwen3-Embedding of the full repo state at this
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commit (fp16, [2048])
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* `cross_repo_split`, `in_repo_split` -- the two split labels (see below)
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## Layout
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```
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commits/
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cr_train.parquet commits from the 400 train repos
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cr_val.parquet commits from held-out cr-val repos
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cr_test.parquet commits from held-out cr-test repos
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ood_test.parquet commits from the post-cutoff OOD repos
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```
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## Split semantics
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Two independent split axes:
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* `cross_repo_split ∈ {train, cr_val, cr_test}` -- which **repositories** the model has seen.
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* `in_repo_split ∈ {train, val, test}` -- chronological 80/10/10 split of each repo's **commits**.
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The four evaluation suites used in the paper map onto these axes as follows:
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| Paper suite | File | Selection |
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|---|---|---|
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| Train (loss) | `qna/cr_train.parquet` | `in_repo_split == "train"` |
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| IR val | `qna/cr_train.parquet` | `in_repo_split == "val"` |
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| IR test | `qna/cr_train.parquet` | `in_repo_split == "test"` |
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| CR val | `qna/cr_val.parquet` | all rows |
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| CR test | `qna/cr_test.parquet` | all rows |
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All evaluation suites use the **full uncapped** assertion set. Only the in-repo train loss path is smart-capped (see `code2lora/code2lora-data-smartcap`).
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## Companion datasets
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* `code2lora/code2lora-data-smartcap` smart-capped per-commit QnAs for training
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* `code2lora/code2lora-data-snapshots` static-snapshot variant
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* `code2lora/code2lora-data-ood` OOD repos in the same schema
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