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bhanunamikaze/ai-dataset-generator

Developer tools

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21 stars 품질 69 트렌드 18MIT

Tool-native dataset generation skill for Codex, Claude Code, and Antigravity with SFT/DPO pipelines, verification, deduplication, and flexible export.

개요

An LLM-first dataset generation skill for agent IDEs and AI coding assistants, with 14 specialized sub-skills, 19 pipeline entry scripts, and 15 shared utility modules that turn topics, URLs, or raw files into SFT and DPO training datasets. For detailed installation guidance, example prompts, command reference, generation workflow, reports, and the full script inventory, see the . The installer ships native formats for each tool — not just a generic copy: - Specialized sub-skills: 14 - Pipeline entry scripts in scripts/: 19 (audit.py, augment.py, browser_collect.py, build_loop.py, collect.py, coverage.py, dedup.py, draft_self_check.py, export.py, generate.py, grounding.py, judge_insights.py, quality_report.py, record_history.py, research.py, review_batch.py, status.py, verify.py) - Shared utility modules in scripts/utils/: 15 - Internal canonical schema: 1 (resources/internal-schema/canonical_schema.

README

원문 README의 일부입니다. 원문 보기.

AI Dataset Generator Skill (Claude / Codex / Antigravity / Cursor / Windsurf / Copilot)

An LLM-first dataset generation skill for agent IDEs and AI coding assistants, with 14 specialized sub-skills, 19 pipeline entry scripts, and 15 shared utility modules that turn topics, URLs, or raw files into SFT and DPO training datasets.

For detailed installation guidance, example prompts, command reference, generation workflow, reports, and the full script inventory, see the Wiki.

IDE Compatibility

The installer ships native formats for each tool — not just a generic copy:

Tool Install location Native format
Claude Code ~/.claude/skills/dataset-generator Skill directory
Codex CLI ~/.codex/skills/dataset-generator Skill directory
Antigravity IDE /.agent/skills/dataset-generator Skill directory
Claude Cowork /.claude/skills/dataset-generator Project-scoped skill (commit to git)
Cursor /.cursor/rules/dataset-generator.mdc + .cursor/skills/dataset-generator/ MDC rule
Windsurf /.windsurf/rules/dataset-generator.md + .windsurf/skills/dataset-generator/ Windsurf rule
Continue.dev /.continue/prompts/dataset-generator.prompt + .continue/skills/dataset-generator/ Slash command
GitHub Copilot /.github/copilot-instructions.md + .github/skills/dataset-generator/ Repo instructions
Cline /.clinerules + .cline/skills/dataset-generator/ Project rules

📦 Current Inventory

  • Specialized sub-skills: 14
  • Pipeline entry scripts in scripts/: 19 (audit.py, augment.py, browser_collect.py, build_loop.py, collect.py, coverage.py, dedup.py, draft_self_check.py, export.py, generate.py, grounding.py, judge_insights.py, quality_report.py, record_history.py, research.py, review_batch.py, status.py, verify.py)
  • Shared utility modules in scripts/utils/: 15
  • Internal canonical schema: 1 (resources/internal-schema/canonical_schema.json)
  • Preset export schemas: 3 (in resources/target-schemas/: OpenAI messages, HuggingFace dataset, CSV columns)

Key Script Inventory

The README only highlights the scripts most users reach for first. See the full inventory with purpose notes in the Script Inventory wiki.

Script Best for
build_loop.py End-to-end batch build: import drafts, verify, coverage check, dedup, per-batch drift detection, and live progress to workspace/build_loop_progress.json.
generate.py Import canonical draft JSONL into SQLite with --source-type, --dedup-threshold, and injection-tolerant handling for adversarial corpora.
collect.py Multi-backend web search + URL/local-file fallback that emits canonical JSONL the agent can draft from.
GitHub에서 전체 README 보기

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