Datasets:
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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)
```json
{
"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）
```json
{
"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。
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