datagen-create-task-dataset

datagen-create-task-dataset is a Fine-tuning & training data skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates datagen-create-task-dataset D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Create a FRESH, snapshot-safe Harbor task dataset from an arbitrary input — a raw non-Harbor HF dataset (e.g. allenai/TMax-15K), a generator codebase (e.g. a GitHub repo like FrontierSmith), or just natural-language instructions with no seed data. The pipeline is a sequence of IDEMPOTENT stages — triage (pick the entry stage) → task-generation → Harbor conversion → snapshot-safe patcher → oracle-solution generation → quality gate — each with its OWN empirical test before advancing, intermediate artifacts uploaded to HF (laion/, parquet). The end artifact is a Harbor task dataset whose oracle (gold) solutions verify at a high rate, with ≤ 6 (hard ≤ 10) unique Daytona snapshots. Use when asked to "make/convert/build a task dataset", "turn <HF dataset> into Harbor tasks", "run <generator repo> into a task set", or "create tasks from these instructions". Runs LOCALLY on the Mac + Daytona (no GPU; teachers via API/vLLM). Distinct from datagen-reduce-dataset-snapshots (that fixes an EXISTING…

Grade

D

Quality

59 / 100

Safety

Passed

GitHub stars

259

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