Evaluation transcripts for the base, SFT and RL arms

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.pcm filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+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 of every evaluation episode behind the results reported in
+[`llm-debugger`](https://github.com/mufeez-amjad/llm-debugger).
+
+This covers the arms the reported numbers rest on — the base model, the SFT
+initialisation, and the RL policies trained from it. Exploratory runs that no
+reported figure depends on are not included.
+
+## Layout
+
+| path | what it is |
+| --- | --- |
+| `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, policy v15 through v120 (3 runs each, 8 at v90) |
+| `runs/rl-v90-test/` | RL policy v90, 8 runs on the test split |
+| `runs/rl-v90-val/` | RL policy v90, 8 runs on the 40-task validation split |
+| `runs/sft-trajectories/` | the SFT model's evaluation trajectories, 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. `runs/sft-trajectories/`
+holds those same three runs turn by turn — every tool call, every observation,
+every edit — rather than as per-defect outcome records.
+
+A trajectory is paired to its run by the `eval_id` both carry, not by the
+timestamp in the filename: a run directory is named when the run is scheduled
+and the `eval_id` is stamped when it starts, so matching on time shifts every
+run by one.
+
+Each run directory is one gzipped archive, because thousands of small JSON files
+make a Hub repo unbrowsable and the download one request per file. Fields that
+name the run directory, such as `run_dir` in the per-task summary, are rewritten
+to the published name so they resolve against what you extracted.
+`manifest.json` lists every run with its file count and uncompressed size.
+
+```bash
+tar -xzf runs/rl-v90-val/v90_val_a_run1.tar.gz
+```
+
+Inside a run:
+
+| file | what it is |
+| --- | --- |
+| `combined_results.json` | every episode's full `conversation_log` |
+| `<model>.json` | per-defect run records for that arm |
+| `evaluation_summary.json` | solve rate, turns, cost and tokens for the run |
+| `per_task_summary.json` | per-defect outcome for the run |
+
+## Reading these honestly
+
+Transcripts are model output. They contain wrong diagnoses, abandoned edits and
+failed episodes — that is what they are for. Solve rates come from
+`final_test_passed`, the suite passing after the episode, not from anything the
+model claims about its own work.
+
+Note that a trajectory file carries `success`, which is **not** the solve
+metric. `success` requires the model to have called `done`; an episode that ran
+to the turn cap with the suite passing has `success: false` and
+`final_test_passed: true`. One of the 90 SFT trajectories published here is
+exactly that case. Score from the run records in `runs/sft/`, and read the
+trajectories for behaviour.
+
+The gate arc is included because it is the evidence for a caveat rather than a
+result. v90 was chosen by stop-at-peak on that arc, and the arc ran on the set
+that is the pristine test split under `defect_split_v2.json`:
+
+    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, and the drop to 72.9 at 8 runs per arm is that winner's curse
+resolving. Cite the validation number, 75.9 / 93.1, which did not select the
+checkpoint.
+
+## Usage
+
+```python
+from huggingface_hub import snapshot_download
+path = snapshot_download("moofeez/llm-debugger-eval-transcripts", repo_type="dataset")
+```

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