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README.md
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license_name: research-use
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license_link: https://huggingface.co/terms
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language:
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- zh
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language_bcp47:
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- zh-TW
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- text-generation
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---
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# MetaFLOS HMI Transcripts(製造現場人機互動對話資料集)
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製造現場操作員 ↔ 機台智慧助理的多輪對話資料集,Vicuna 式生成(seed 情境 → LLM 產生 transcript)。
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license_name: research-use
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license_link: https://huggingface.co/terms
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language:
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- en
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- zh
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language_bcp47:
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- zh-TW
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- text-generation
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---
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# MetaFLOS HMI Transcripts (Manufacturing Human-Machine Interaction Dialogue Dataset)
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Multi-turn dialogue dataset between manufacturing floor operators and machine intelligent assistants, generated in Vicuna style (seed scenario → LLM produces transcript).
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## Content
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- **30 scenarios / 325 dialogue turns** (6–12 turns per scenario)
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- Covers 16 domains: textile warping/weaving, LCD panels, semiconductor processes, fans/blowers, water chillers, general equipment reliability (FMEA), robot collaboration, maintenance & repair, technical document support, steel/metal, PCB, metal/fasteners, electronic components, building materials, cables, wood processing
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- Dialogue arc: detect defect → diagnose cause (citing defect database) → adjust parameters (concrete values) → verify result (measurement/re-inspection)
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## Sources
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| Source | # Scenarios |
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|---|---|
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| Self-built scenarios (Vicuna-style generation) | 10 |
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| IRWOZ 2.0 / IRWoZ 1.0 (Aalborg Univ.) | 4 |
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| KIDE4I (Tekniker Foundation, Industry 5.0) | 2 |
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| ICNLSP 2023 industrial technical document corpus | 1 |
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| NEU-DET (hot-rolled steel strip surface defects) | 3 |
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| DeepPCB (PCB surface defects) | 3 |
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| MVTec AD (general industrial anomalies) | 6 |
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| KolektorSDD (metal surface micro-cracks) | 1 |
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## Schema (JSONL, one record per line)
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```json
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{
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"id": "hmi-18",
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"domain": "Steel/Metal",
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"machine": "Hot-rolled steel strip line",
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"scenario": "Scenario description",
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"source": "NEU-DET (hot-rolled steel strip surface defects)",
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"transcript": [
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{"role": "operator", "content": "..."},
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{"role": "assistant", "content": "..."}
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],
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"model": "gemma3:27b",
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"ts": "2026-08-09 19:00:00"
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}
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```
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## Generation Method
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`scripts/gen_hmi_dataset.py`: seed scenario → ollama (gemma3:27b) generates a 6–12 turn transcript, validates roles are legal and content non-empty.
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## Privacy Protection
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- **Synthetic content**: all scenarios and dialogues are LLM-generated, not real factory events or real personnel conversations.
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- **No personal data**: transcripts contain no real names, phone numbers, emails, addresses, or other personally identifiable information; operators are always presented as the "operator" role.
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- **No sensitive machine data**: parameter values in dialogues are synthetic scenario settings, not actual parameters of any real production line.
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## License & Copyright
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- **This dataset**: **research-use**. For academic research and non-commercial use only.
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- **Scenario sources**: some scenarios are adapted from public academic datasets (IRWOZ, KIDE4I, NEU-DET, DeepPCB, MVTec AD, KolektorSDD, etc.); copyright of each source belongs to its original authors, use per each source's license.
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- **Generation model**: transcripts generated by gemma3:27b; comply with the Google Gemma license when using.
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- **Prohibited uses**: impersonating real personnel, forging factory records, or any use violating local law.
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---
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# 中文說明
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# MetaFLOS HMI Transcripts(製造現場人機互動對話資料集)
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製造現場操作員 ↔ 機台智慧助理的多輪對話資料集,Vicuna 式生成(seed 情境 → LLM 產生 transcript)。
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