# [SETA-Env](https://huggingface.co/datasets/camel-ai/SETA-Env)

## Dataset stats

- **Original tasks:** 4,567 (1,414 excluded during upstream conversion; 3,153 audited here)
- **Kept:** 3,107
- **Changed:** 3,042
- **Archived:** 46
- **Images:** 11 images before, 11 images now.

## Dataset characteristics

<details><summary>Domains</summary>

**Data Science and Machine Learning:** data cleaning, analysis, scikit-learn models and reports. **Debugging:** Python/pandas repairs. **System Administration:** shell and system configuration. **Data Processing:** file inventories, policy checks and structured outputs.

</details>
<details><summary>Capabilities</summary>

**Specification Adherence:** exact paths, schemas, metrics and constraints. **Exploration:** inspect data, policies and broken scripts. **Error Recovery:** reproduce failures and verify repairs. Labels follow [CLI-Universe](https://arxiv.org/abs/2606.22883v1).

</details>

Intended benchmark transfer: **Terminal-Bench 2.0, OpenThoughts-TBLite 2.0, DS-1000 mini-200 and BixBench CLI corrections @ Pi**, through terminal workflows, Python data analysis and executable verification.

## Per-stage breakdown

Includes historical runs and a fresh build/reference/no-op rerun of 3 restored tasks.

- **1. Build and setup: 3,025 changed, 24 archived.** Changed 3,025 tasks with overlapping repairs to 215 environments, 72 setups, 3,021 verifiers and 35 configurations. Repairs covered runtime compatibility, dependencies and resource/time limits; old/new limit counts are missing. Archived 19 ownership mismatches, 2 read-only NVIDIA-tool conflicts and 3 slow R setups.
- **2. Reference solution (reward 1): 14 changed, 1 archived.** Changed 14 reference solutions: 9 package pins and 5 script repairs covering CLI use, strict error handling, timing and signals. Archived 1 slow desktop setup.
- **3. No-op baseline (reward 0): 32 changed, 2 archived.** Changed 31 setup timeouts and 1 missing-backup-script check; old/new timeouts are missing. Archived 2 slow R setups.
- **4. Rule-based checks: 356 changed, 19 archived.** Clarified 25 instructions. Flagged 415 kept tasks for relative paths. The automatic resolver changed 333 tasks; 114 still have warnings. The warning-cleared count is missing. Inspected a random sample of 50, and all warnings were harmless. Archived 19 tasks requiring undisclosed deliverable paths.

Git-history and timestamp leak checks were not run.

## Per-task resource requirements

| Kept tasks | CPUs per task | Memory per task |
| ---: | ---: | ---: |
| 3,103 | 1 | 2 GiB |
| 1 | 1 | 4 GiB |
| 1 | 1 | 6 GiB |
| 2 | 1 | 8 GiB |

## Runtime and validation time

- **Versions:** Apptainer **1.5.4**, Python **3.12.14**, Harbor **0.8.1**.
- **Implementation:** [Marin Harbor `7faf878c14b6`](https://github.com/marin-community/harbor/tree/7faf878c14b6d72737579ec936ebf5f74ba3194d) + [our runtime patches](https://github.com/MLI-lab/OT-next-data/tree/main/harbor_patches).
- **Resources:** Helma; **32 CPU cores/job**, up to 16 concurrent runtime tasks.
- **Validation job memory:** Missing.

| Stage | Measured tasks | Total stage time | Mean per task | Median per task |
| --- | ---: | ---: | ---: | ---: |
| 1. Build and setup | 3,130 | Missing | Missing | 28.40 s |
| 2. Reference solution | 3,130 | Missing | Missing | 35.60 s |
| 3. No-op baseline | 3,130 | Missing | Missing | 38.40 s |
| 4. Rule-based checks | 3,130 | Missing | Missing | 0.70 s |

Measurements cover the original 3,130-task run, before later repairs and exclusions.