| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - debugging |
| - agent-trajectories |
| - evaluation |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # llm-debugger evaluation transcripts |
|
|
| Every turn behind the results reported in |
| [`llm-debugger`](https://github.com/mufeez-amjad/llm-debugger): the base model, |
| the SFT initialisation, and the RL policies trained from it. Exploratory runs no |
| reported figure depends on are not included. |
|
|
| ## Layout |
|
|
| | path | what | |
| | --- | --- | |
| | `runs/base/` | `Qwen3-Coder-30B-A3B-Instruct`, 8 runs on the 30-task test split | |
| | `runs/sft/` | the SFT initialisation, 3 runs on the test split | |
| | `runs/rl-gate-arc/` | the RL gate arc, v15 through v120 (3 runs each, 8 at v90) | |
| | `runs/rl-v90-test/` | RL policy v90, 8 runs on test | |
| | `runs/rl-v90-val/` | RL policy v90, 8 runs on the 40-task validation split | |
| | `runs/sft-trajectories/` | the SFT model's runs turn by turn | |
|
|
| `runs/sft/` is the gate at policy v0, which carries a zero-initialised RFT delta, |
| so it measures the frozen SFT model exactly. |
|
|
| One archive per run. `manifest.json` lists file counts and uncompressed sizes. |
| Fields naming the run directory, such as `run_dir`, are rewritten to the |
| published name so they resolve against what you extract. |
|
|
| ```bash |
| tar -xzf runs/rl-v90-val/v90_val_a_run1.tar.gz |
| ``` |
|
|
| Inside a run: `combined_results.json` (full `conversation_log` per episode), |
| `<model>.json` (per-defect records), `evaluation_summary.json`, |
| `per_task_summary.json`. |
|
|
| ## Reading these |
|
|
| Solve rate is `final_test_passed`, not anything the model claims. Trajectory |
| files carry `success`, which is **not** the solve metric — it requires the model |
| to have called `done`, so an episode that hit the turn cap with the suite passing |
| reads `success: false` and `final_test_passed: true`. One of the 90 SFT |
| trajectories here is that case. Score from the run records; read the trajectories |
| for behaviour. |
|
|
| The gate arc is included as evidence for a caveat, not a result. v90 was chosen |
| by stop-at-peak on that arc, and the arc ran on the pristine test split: |
|
|
| v0 64.4 | v15 65.6 | v30 63.3 | v45 70.0 | v60 62.2 | v75 72.2 | |
| v90 76.7 | v105 68.9 | v120 66.7 |
| |
| So v90's test figure is the argmax of nine noisy draws on the set it was then |
| scored against. Cite the validation number, 75.9 / 93.1. |
|
|
| ## Use |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| path = snapshot_download("moofeez/llm-debugger-eval-transcripts", repo_type="dataset") |
| ``` |
|
|
