validated-tasks / seta_v1 /README.md
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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

Domains

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.

Capabilities

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.

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 + our runtime 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.