| # TermiGen v2 |
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| ## Dataset stats |
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| - **Tasks:** 3,566 original; 3,336 in v1; **2,277 kept in v2**, all previously patched. 1,059 v1 tasks have no recorded successful attempt; 230 earlier exclusions remain in v1. |
| - **Images:** reuse v1 environments and its cached images as they become available. No additional images or task repairs in v2. |
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| ## Dataset characteristics |
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| [TermiGen](https://github.com/ucsb-mlsec/terminal-bench-env/tree/03bddac74ada2fa344df0e93b4a3ace2034294d1) supplies terminal tasks with prepared files and executable verifiers. |
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| <details><summary>Domains</summary> |
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| Software Engineering, Debugging, System Administration, Security, Data Processing, Scientific Computing and Machine Learning: repair code, diagnose services, inspect artifacts and configure computational workflows. |
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| </details> |
| <details><summary>Capabilities</summary> |
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| Exploration, Error Recovery and Specification Adherence; specialized tasks also involve Reverse Engineering and Adversarial Reasoning. Labels follow [CLI-Universe](https://arxiv.org/abs/2606.22883v1). |
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| </details> |
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| **Intended benchmark transfer:** terminal problem solving for Terminal-Bench; debugging and environment diagnosis for repository-based software engineering. |
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| ## Selection |
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| Keep tasks with at least one recorded reward of 1 from either model, with four attempts per task and model. |
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| | Model | Tasks solved at least once | |
| | --- | ---: | |
| | Qwen3-Coder-30B-A3B-Instruct | 2,123 / 3,336 | |
| | Qwen3-30B-A3B-Instruct-2507 | 1,850 / 3,336 | |
| | Either model | 2,277 / 3,336 | |
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| All 3,336 evaluated task hashes match v1. V2 preserves task payloads exactly. Build, no-op and rule-based checks carry over from [v1](../termigen_v1/README.md); no reference solutions are provided. |
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| Missing rewards remain unknown, not failures (142 Coder attempts and 179 Instruct attempts). Excluded tasks are those without a recorded success, not confirmed defective tasks. |
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| ### Successful attempts among kept tasks |
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| | Instruct successes out of 4 | Tasks | |
| | --- | ---: | |
| | 0 | 427 | |
| | 1 | 417 | |
| | 2 | 359 | |
| | 3 | 421 | |
| | 4 | 653 | |
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| Per-task Coder evidence establishes whether a task was solved; exact per-task success counts are not available in the published report, so they are not inferred. |
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| ## Files and selecting tasks |
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| `tasks.parquet` contains kept tasks, `coder_solved`, `instruct_successes`, `instruct_missing_rewards` and `attempts_per_model`. `metadata/selection.json` records every v1 task's selection and pins the source revision. Excluded payloads remain in that v1 revision; no duplicate archive Parquet is uploaded. `patch.py` reproduces this selection. |
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| ```python |
| import pyarrow.parquet as pq |
| subset = pq.read_table("tasks.parquet", filters=[("instruct_successes", "=", 1)]) |
| pq.write_table(subset, "selected.parquet", compression="zstd") |
| ``` |
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| Saved teacher trajectories from [PR #20](https://huggingface.co/datasets/FWeindel/validated-tasks/discussions/20) are available in [traces/](traces/), with coverage and provenance in [traces/manifest.json](traces/manifest.json). The 70 Parquet shards contain 26,688 attempt records from both models across all 3,336 evaluated v1 tasks. Filter `retained_v2 == True` for the 2,277 tasks kept in v2. The manifest records 64 missing trajectories and 321 ungraded attempts; missing raw verifier rewards remain null. It also documents missing-reward metadata discrepancies for 103 tasks. |
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| ## Runtime |
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| Apptainer 1.5.4, Python 3.12.7 / 3.12.14, Harbor 0.8.1; [Marin Harbor bridge](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) and [runtime patches](https://github.com/MLI-lab/OT-next-data/tree/main/harbor_patches). Teacher runs used Terminus 2; [recorded model results](https://huggingface.co/datasets/FWeindel/validated-tasks/discussions/11). |
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