Datasets:
Condense Qwen3-8B trace documentation into bullets
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nl2bash_v2/README.md
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## Additional Qwen3-8B thinking rollouts
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## Additional Qwen3-8B thinking rollouts
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- **400 retained V2 tasks → 4 attempts/task → 1,600 full trajectories.**
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- **900 verifier-positive attempts; 300/400 tasks solved (75% observed pass@4).**
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- Subset of tasks previously solved by Coder; counts are separate from the Coder statistics above.
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- [Trace files, settings and caveats](traces/qwen3_8b_thinking_20261021.md).
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nl2bash_v2/traces/qwen3_8b_thinking_20261021.md
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# Qwen3-8B thinking:
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| Verifier-positive attempts |900/1,600 (56.25%)|
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| Verifier-positive attempts without a recorded exception |898|
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| Tasks solved in four attempts |300/400 (75%)|
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| Tasks with zero successful attempts |100|
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| Agent timeouts, raw grades preserved |48 (46 reward 0 ; 2 reward 1)|
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## Files and
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- [Parquet](qwen3_8b_thinking_20261021.parquet):
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- [Manifest](qwen3_8b_thinking_20261021.manifest.json):
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##
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- Model: `Qwen/Qwen3-8B@b968826d9c46dd6066d109eabc6255188de91218`, thinking enabled, BF16.
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- Harbor 0.24.0 / Terminus-2 2.0.0, **Docker** rather than the historical Apptainer harness. Published fixtures are staged and their setup script executed before the agent; task/verifier payloads remain unchanged.
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- Context 32,768; explicit per-call output cap 8,192; temperature 0.6, top_p 0.95, top_k 20, min_p 0.
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- 16 active agents / 20 trial slots on one A100-80GB vLLM server; four independent attempts per task; no automatic trial retries.
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- Dataset task source: `1ca849c2128cf9ba9090a11514378c3a8277977a`; per-task hashes verified against this PR's public base. This contribution is scoped to V2 and does not alter task selection, V3 work, or Coder summaries.
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## Load and check
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```python
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import json
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import pyarrow.parquet as pq
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from huggingface_hub import hf_hub_download
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p = hf_hub_download(
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"
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t = pq.read_table(p)
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assert t.num_rows == 1600
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assert sum(t.column("reward").to_pylist()) == 900
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trajectory = json.loads(t.column("trajectory")[0].as_py())
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result = json.loads(t.column("result")[0].as_py())
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```
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While this PR is open, pass `revision="refs/pr/<number>"` to download from the PR instead of main.
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# Qwen3-8B thinking: NL2Bash V2 traces
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**400 retained V2 tasks → Qwen3-8B thinking × 4 attempts → 1,600 ATIF trajectories**
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## Results
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- **900/1,600 verifier-positive attempts (56.25%).**
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- **300/400 tasks solved (75% observed pass@4); 100 unsolved.**
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- **898 positive attempts without a recorded exception:** filter `reward == 1` and parsed `result.exception_info == null`.
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- **48 agent timeouts:** 46 reward 0, 2 reward 1; raw grades preserved.
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## Files and contents
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- [Parquet](qwen3_8b_thinking_20261021.parquet): one row per attempt; same 14 columns and Arrow types as `coder.parquet`.
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- [Manifest](qwen3_8b_thinking_20261021.manifest.json): pinned revisions, full settings, checksums, selection and per-task coverage.
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- `trajectory`: original **ATIF-v1.8 JSON string**, including messages, reasoning, tool calls and observations.
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- `result`: trial JSON with verifier results and exceptions; operational paths, endpoints and credential-valued metadata sanitized.
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- `reward` / `verifier_reward`: original binary verifier grade; no imputation.
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- `attempt_id` / `trial`: native trial UUID / name. `source_split` / `source_shard`: this collection / batch.
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- `trajectory_found` and `retained_v2`: true for every row. Task hashes match the published Coder metadata.
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## Reading the results
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- **Selection bias:** these 400 tasks come from 938 previously solved by the 30B teacher. Historical 30B observed pass@4 here is 100% by construction; 75% describes this subset, not the original NL2Bash pool or a controlled model comparison.
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- **All attempts retained:** all 1,600 histories pass Harbor's ATIF validator. All 900 positive histories contain reasoning, structured tool calls and observations; 26 failed attempts have no structured tool call.
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- **Timeouts end at the cutoff:** a positive verifier grade does not guarantee normal termination. The 898-attempt filter above excludes recorded exceptions.
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## Run settings
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- `Qwen/Qwen3-8B`, thinking enabled, BF16; exact revision in the manifest.
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- Harbor 0.24.0 → Terminus-2 2.0.0 → **Docker** with published fixtures/setup; historical runs used Apptainer. Task/verifier payloads unchanged.
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- Context 32,768; per-call output cap 8,192; temperature 0.6; top_p 0.95; top_k 20; min_p 0.
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- One A100-80GB vLLM server; 16 active agents / 20 trial slots; four independent attempts/task; no automatic trial retries.
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## Load
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```python
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import json
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import pyarrow.parquet as pq
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from huggingface_hub import hf_hub_download
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p = hf_hub_download(
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"FWeindel/validated-tasks",
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"nl2bash_v2/traces/qwen3_8b_thinking_20261021.parquet",
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repo_type="dataset", revision="refs/pr/30", # Omit revision after merge.
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)
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t = pq.read_table(p)
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assert t.num_rows == 1600
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assert sum(t.column("reward").to_pylist()) == 900
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trajectory = json.loads(t.column("trajectory")[0].as_py())
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result = json.loads(t.column("result")[0].as_py())
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```
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