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metadata
license: other
license_name: research-use
license_link: https://huggingface.co/terms
language:
  - en
  - zh
language_bcp47:
  - zh-TW
tags:
  - manufacturing
  - human-machine-interaction
  - dialogue
  - vicuna-style
task_categories:
  - text-generation

MetaFLOS HMI Transcripts (Manufacturing Human-Machine Interaction Dialogue Dataset)

Multi-turn dialogue dataset between manufacturing floor operators and machine intelligent assistants, generated in Vicuna style (seed scenario → LLM produces transcript).

Content

  • 30 scenarios / 325 dialogue turns (6–12 turns per scenario)
  • 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
  • Dialogue arc: detect defect → diagnose cause (citing defect database) → adjust parameters (concrete values) → verify result (measurement/re-inspection)

Sources

Source # Scenarios
Self-built scenarios (Vicuna-style generation) 10
IRWOZ 2.0 / IRWoZ 1.0 (Aalborg Univ.) 4
KIDE4I (Tekniker Foundation, Industry 5.0) 2
ICNLSP 2023 industrial technical document corpus 1
NEU-DET (hot-rolled steel strip surface defects) 3
DeepPCB (PCB surface defects) 3
MVTec AD (general industrial anomalies) 6
KolektorSDD (metal surface micro-cracks) 1

Schema (JSONL, one record per line)

{
  "id": "hmi-18",
  "domain": "Steel/Metal",
  "machine": "Hot-rolled steel strip line",
  "scenario": "Scenario description",
  "source": "NEU-DET (hot-rolled steel strip surface defects)",
  "transcript": [
    {"role": "operator", "content": "..."},
    {"role": "assistant", "content": "..."}
  ],
  "model": "gemma3:27b",
  "ts": "2026-08-09 19:00:00"
}

Generation Method

scripts/gen_hmi_dataset.py: seed scenario → ollama (gemma3:27b) generates a 6–12 turn transcript, validates roles are legal and content non-empty.

Privacy Protection

  • Synthetic content: all scenarios and dialogues are LLM-generated, not real factory events or real personnel conversations.
  • 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.
  • No sensitive machine data: parameter values in dialogues are synthetic scenario settings, not actual parameters of any real production line.

License & Copyright

  • This dataset: research-use. For academic research and non-commercial use only.
  • 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.
  • Generation model: transcripts generated by gemma3:27b; comply with the Google Gemma license when using.
  • Prohibited uses: impersonating real personnel, forging factory records, or any use violating local law.

中文說明

MetaFLOS HMI Transcripts(製造現場人機互動對話資料集)

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)。

內容

  • 30 個情境 / 325 輪對話(每情境 6~12 輪)
  • 涵蓋 16 個領域:紡織整經/織造、面板 LCD、半導體製程、風機/送風、水機/冰水主機、通用設備可靠度(FMEA)、機器人協作、維修保養、技術文件支援、鋼鐵/金屬、PCB、金屬/扣件、電子元件、建材、線纜、木材加工
  • 對話弧線:發現瑕疵 → 診斷成因(引用瑕疵資料庫)→ 調校參數(具體數值)→ 驗證結果(量測/複檢)

來源

來源 情境數
自建情境(Vicuna 式生成) 10
IRWOZ 2.0 / IRWoZ 1.0(Aalborg Univ.) 4
KIDE4I(Tekniker Foundation, Industry 5.0) 2
ICNLSP 2023 工業技術文件語料 1
NEU-DET(熱軋鋼帶表面缺陷) 3
DeepPCB(PCB 表面缺陷) 3
MVTec AD(通用工業異常) 6
KolektorSDD(金屬表面細微裂紋) 1

Schema(JSONL,每行一筆)

{
  "id": "hmi-18",
  "domain": "鋼鐵/金屬",
  "machine": "熱軋鋼帶線",
  "scenario": "情境描述",
  "source": "NEU-DET(熱軋鋼帶表面缺陷)",
  "transcript": [
    {"role": "operator", "content": "..."},
    {"role": "assistant", "content": "..."}
  ],
  "model": "gemma3:27b",
  "ts": "2026-08-09 19:00:00"
}

生成方式

scripts/gen_hmi_dataset.py:seed 情境 → ollama(gemma3:27b)產生 6~12 輪 transcript,驗證角色合法、內容非空。

隱私保護

  • 合成內容:所有情境與對話皆為 LLM 生成,非真實工廠事件或真實人員對話。
  • 無個人資料:transcript 中不包含真實姓名、電話、Email、地址等個人識別資訊;操作員一律以「operator」角色呈現。
  • 無機台敏感資料:對話中的參數數值為合成情境設定,不代表任何真實產線的實際參數。

授權與版權

  • 本資料集研究用途(research-use)。僅供學術研究與非商業用途。
  • 情境來源:部分情境改編自公開學術資料集(IRWOZ、KIDE4I、NEU-DET、DeepPCB、MVTec AD、KolektorSDD 等),各來源之版權歸其原始作者所有,請依各來源授權使用。
  • 生成模型:transcript 由 gemma3:27b 生成,使用時請一併遵守 Google Gemma 授權條款。
  • 禁止用途:不得用於冒充真實人員、偽造工廠紀錄、或任何違反當地法律之用途。