| --- |
| license: apache-2.0 |
| language: |
| - en |
| tags: |
| - pretraining |
| - data-curation |
| - evaluation |
| - llm |
| - common-crawl |
| pretty_name: ProseOnlyRepair — Evaluation Analysis Scripts |
| --- |
| |
| # ProseOnlyRepair — Evaluation Analysis Scripts |
|
|
| Anonymized evaluation/analysis scripts that reproduce the tables and |
| figures in the *Repair-First* paper (under double-blind review). |
|
|
| ## Contents |
|
|
| | File | Purpose | |
| |------|---------| |
| | `build_paper_tables.py` | Headline tables (per-task accuracy, Paloma BPB, repair deltas) | |
| | `build_8variant_analysis.py` | 8-variant repair-effect-by-tier analysis (POST-only excluded) | |
| | `build_12variant_analysis.py` | 12-variant superset including POST-only (used in appendix) | |
| | `make_paper_figures.py` | Regenerates Figures 1 and 2 from eval JSONs | |
| | `requirements.txt` | Python dependencies (lm-evaluation-harness 0.4.12, datasets <4.0, etc.) | |
|
|
| ## Variant naming |
|
|
| Each evaluation result directory follows |
| `{cluster}_{tier}_new[_repaired[_upsampled]]_results`: |
|
|
| | Token | Meaning | |
| |---|---| |
| | `clusterA_` | Pretrained on Cluster A (anonymous identifier) | |
| | `clusterB_` | Pretrained on Cluster B (anonymous identifier) | |
| | `_lq` / `_mq` / `_hq` | Low / Medium / High quality CommonCrawl tier | |
| | `_new` | PRE: pre-repair baseline | |
| | `_new_repaired` | POST: post-repair, token budget held by truncation | |
| | `_new_repaired_upsampled` | POST+UP: post-repair + upsampled to original token budget | |
|
|
| ## How to use |
|
|
| ```bash |
| pip install -r requirements.txt |
| # Place evaluation result JSONs under ./eval_results/{prose,paloma}/ |
| python3 build_paper_tables.py |
| python3 build_8variant_analysis.py |
| python3 build_12variant_analysis.py |
| python3 make_paper_figures.py |
| ``` |
|
|
| The accompanying evaluation result JSONs (12 variants × prose + paloma |
| suites) are released in the paper's supplementary materials zip. |
|
|
| ## Notes |
|
|
| - All scripts are CPU-only Python and require no GPU. |
| - Scripts are deterministic: identical inputs → identical outputs. |
| - The 28-task prose suite + 11-corpus Paloma BPB panel are evaluated |
| with `lm-evaluation-harness==0.4.12` (vLLM backend). |
| - Decoding: greedy, max-len 256 except CoQA/SQuADv2 (512). |
|
|
| This release is anonymous for double-blind review and will be |
| re-released with author and affiliation metadata after the review |
| period. |
|
|
