| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| pretty_name: Plumb (G702 curriculum study) |
| tags: |
| - construction |
| - pay-application |
| - g702 |
| - curriculum |
| - synthetic |
| - verifier-as-oracle |
| configs: |
| - config_name: benchmark |
| data_files: data/benchmark.jsonl |
| - config_name: train_handseeded |
| data_files: data/train_handseeded.jsonl |
| - config_name: train_ornith |
| data_files: data/train_ornith.jsonl |
| - config_name: train_blended |
| data_files: data/train_blended.jsonl |
| - config_name: evals |
| data_files: data/evals/evals.jsonl |
| --- |
| |
| # Plumb |
|
|
| Gold tasks and the held-out eval. The study is on the [collection](https://huggingface.co/collections/caiotheodoro/plumb-6a89f2ea18c97d11b0238529). |
|
|
| | Config | n | What | |
| |---|---:|---| |
| | `benchmark` | 1000 | Held-out eval, seed 777. Never in train. | |
| | `train_handseeded` | 223 | Mix matched to the eval, including PASS. | |
| | `train_ornith` | 58 | Ornith-1.5 proposals that passed the oracle. | |
| | `train_blended` | 281 | Both of the above. | |
|
|
| Leakprobe vs benchmark: exact signature overlap 0. |
|
|
| | curriculum | train n | sw-recall | precision | exact | |
| |---|---:|---|---|---| |
| | hand-seeded | 223 | 0.318 [0.290, 0.347] | 0.308 [0.279, 0.337] | 0.178 | |
| | Ornith-only | 58 | 0.241 [0.214, 0.268] | 0.111 [0.098, 0.124] | 0.084 | |
| | blend | 281 | 0.334 [0.306, 0.363] | 0.374 [0.342, 0.406] | 0.228 | |
|
|
| The `evals` config has all 15 published rows (full size, equal-N@58 random and stratified, clean equal-N@18) with their CIs, so the tables in the post are reproducible without rerunning anything: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| evals = load_dataset("caiotheodoro/plumb", "evals", split="train") |
| [r for r in evals if r["group"] == "full_size"] |
| ``` |
|
|
| Raw per-prediction dumps live at `data/evals/eval-{handseeded,ornith,blended}.json` and `PATH_A_RESULTS.json`. Those are artifacts, not configs; fetch them with `hf_hub_download`. |
|
|
| CIs: 10k bootstrap, seed 11. Adapters: [`handseeded`](https://huggingface.co/caiotheodoro/plumb-handseeded) · [`ornith`](https://huggingface.co/caiotheodoro/plumb-ornith) · [`blended`](https://huggingface.co/caiotheodoro/plumb-blended). N=18 mix/error and pow-* / leaked-anchor grows are not here. |
|
|
| ```python |
| from datasets import load_dataset |
| bench = load_dataset("caiotheodoro/plumb", "benchmark", split="train") |
| ``` |
|
|
| Apache-2.0. Synthetic pay applications, not real contractor filings. |
|
|
