---
license: cc-by-4.0
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**: **[CC BY 4.0](https://huggingface.co/datasets/tjw/hmi-transcripts/blob/main/LICENSE)**. Free to use, share, and adapt — including commercially — with attribution. CC 4.0 §4 also covers sui generis database rights.
- **Notices**: see [`NOTICE.md`](https://huggingface.co/datasets/tjw/hmi-transcripts/blob/main/NOTICE.md) for provenance, upstream terms, and safety advisories. Those are informational and add **no** conditions to the CC BY 4.0 grant.
- **Scenario sources**: 20 of 30 scenarios *name* a public academic dataset as the origin of the defect **category** that inspired them (e.g. "MVTec AD `metal_nut` class"). **No source text, image, or annotation is reproduced or adapted** — only factual category references — so no ShareAlike obligation attaches. Credits in `NOTICE.md`.
- **Generation model**: `gemma3:27b`. Gemma Terms §1.1(e)/§3.3 place Outputs outside the §3.1 redistribution conditions. **If you fine-tune to Gemma-like behaviour**, your model may itself become a Gemma Model Derivative — see `NOTICE.md` §2.
- **⚠️ Not engineering guidance**: dialogue parameter values are synthetic illustrations. Do not drive real machine control or safety interlocks without independent qualification by a responsible engineer.


## Author & Citation

**Tzer-jen Wei**

```bibtex
@misc{metaflos_hmi_transcripts_2026,
  title  = {MetaFLOS HMI Transcripts: A Manufacturing Human-Machine
            Interaction Dialogue Dataset},
  author = {Wei, Tzer-jen},
  year   = {2026},
  note   = {30 scenarios / 325 turns, synthetically generated with gemma3:27b},
  url    = {https://huggingface.co/datasets/tjw/hmi-transcripts}
}
```


---

# 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**：[CC BY 4.0](https://huggingface.co/datasets/tjw/hmi-transcripts/blob/main/LICENSE)。可自由使用、散布、改作（含商業使用），惟須姓名標示。CC 4.0 §4 並涵蓋資料庫之 sui generis 權利。
- **附註**：資料來源、上游條款與安全提醒見 [NOTICE.md](https://huggingface.co/datasets/tjw/hmi-transcripts/blob/main/NOTICE.md)。該等內容為告知性質，**不**對 CC BY 4.0 附加任何條件。
- **情境來源**：30 個情境中有 20 個「標註」了啟發該情境之瑕疵**類別**所出自的公開學術資料集（例如「MVTec AD `metal_nut` 類」）。**未重製或改作任何來源之文字、影像或標註**，僅使用事實性類別指涉，故不生 ShareAlike 義務。致謝見 `NOTICE.md`。
- **生成模型**：`gemma3:27b`。依 Gemma 條款 §1.1(e)/§3.3，Outputs 不受 §3.1 散布條件拘束。**惟若您微調出近似 Gemma 之模型**，該模型本身可能構成 Model Derivative —— 見 `NOTICE.md` §2。
- **⚠️ 非工程指引**：對話參數值為合成示例。未經負責工程師獨立驗證，請勿用於驅動真實機台控制或安全連鎖。

## 著作人與引用

**Tzer-jen Wei**

引用格式同英文段落之 BibTeX。