Add CC BY 4.0 LICENSE + NOTICE.md; author Tzer-jen Wei; verified Gemma/source-dataset position

LICENSE

@@ -0,0 +1,402 @@
+Copyright (c) 2026 Tzer-jen Wei.
+Licensed under the Creative Commons Attribution 4.0 International License.
+See NOTICE.md for upstream terms, provenance, and use advisories.
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+

NOTICE.md

@@ -0,0 +1,143 @@
+# NOTICE — MetaFLOS HMI Transcripts
+
+Dataset: **MetaFLOS HMI Transcripts** (Manufacturing Human-Machine Interaction Dialogue Dataset)
+Author / rights holder: **Tzer-jen Wei**
+License: **CC BY 4.0** (see `LICENSE`)
+
+This file is informational. It records provenance, upstream terms, and
+safety advisories. **Nothing here adds conditions to the CC BY 4.0 grant** —
+CC BY 4.0 §2(a)(5)(B) forbids downstream restrictions, and none are intended.
+
+---
+
+## 1. Provenance
+
+All 30 scenarios / 325 turns are **synthetic**, produced by `gemma3:27b`
+via `scripts/gen_hmi_dataset.py` (seed scenario → LLM transcript → role and
+non-empty validation). No real conversation, factory event, or personal data
+is contained.
+
+## 2. Gemma (Google) — verified position
+
+Verified against the Gemma Terms of Use (last modified 2026-04-01) and the
+Gemma Prohibited Use Policy (last modified 2024-02-21):
+
+- **Gemma Terms §1.1(e)**: "For clarity, Outputs are not deemed Model
+  Derivatives."
+- **Gemma Terms §3.3**: "Google claims no rights in Outputs you generate
+  using Gemma."
+
+This dataset consists solely of Outputs. The redistribution conditions of
+**Gemma Terms §3.1** — enforceable pass-through of use restrictions, delivery
+of the Gemma Agreement, NOTICE file — attach to Gemma and to Model
+Derivatives, and therefore **do not attach to this dataset**. The author
+generated it in compliance with the Gemma Prohibited Use Policy, as §3.2
+requires of the party operating the model.
+
+**If you fine-tune on this dataset**: Gemma Terms §1.1(e) defines "Model
+Derivatives" to include a model created by "methods based on the generation
+of synthetic data Outputs by Gemma for training that model" so as to cause it
+"to perform similarly to Gemma". A model you distill or fine-tune with that
+effect may itself be a Gemma Model Derivative and become subject to the full
+Gemma Terms. Training a *different* base model for *manufacturing-domain*
+capability is a different case. Assess your own situation before distributing.
+
+- https://ai.google.dev/gemma/terms
+- https://ai.google.dev/gemma/prohibited_use_policy
+
+## 3. Scenario inspiration sources
+
+20 of the 30 scenarios **name** a public academic dataset as the origin of the
+defect **category** that inspired the scenario (e.g. "surface scratch on a
+metal nut, MVTec AD `metal_nut` class").
+
+**No text, image, annotation, or other expressive content from any of these
+sources is reproduced, adapted, or redistributed here** — only factual
+category and domain references are used. Accordingly, no ShareAlike or other
+copyleft obligation of those sources attaches to this dataset.
+
+| Source | Holder | Scenarios |
+|---|---|---|
+| MVTec AD | MVTec Software GmbH | 6 |
+| IRWoZ 1.0 / 2.0 | Aalborg University | 4 |
+| NEU-DET | Northeastern University | 3 |
+| DeepPCB | Tang et al. | 3 |
+| KIDE4I | Tekniker Foundation | 2 |
+| ICNLSP 2023 corpus | respective authors | 1 |
+| KolektorSDD | Kolektor Group / UL FRI | 1 |
+| Self-authored | Tzer-jen Wei | 10 |
+
+If you obtain and use any of these upstream datasets **directly**, you must do
+so under that dataset's own license, which this notice neither grants nor
+alters.
+
+## 4. Safety advisory — not engineering guidance
+
+The parameter values, setpoints, tolerances, and corrective actions in the
+dialogues are **synthetic illustrations**, not validated engineering guidance
+for any real machine. They have not been checked against any real process.
+
+Machine identifiers (`NX-220`, `EL-180`, …) and all numeric parameters are
+fictional scenario settings and correspond to no real production line,
+equipment configuration, or trade secret.
+
+**The author strongly advises** against using this dataset — or any model
+trained on it — to drive, recommend, or automate real machine control,
+process parameters, maintenance decisions, or safety interlocks without
+independent qualification by a responsible engineer.
+
+## 5. Transparency advisory
+
+When quoting or redistributing these dialogues, please identify them as
+LLM-generated synthetic text rather than records of real human-machine
+interaction. See also EU AI Act transparency obligations for synthetic
+content, where applicable to you.
+
+## 6. Attribution
+
+CC BY 4.0 §3(a)(1) requires attribution. Suggested form:
+
+> MetaFLOS HMI Transcripts, by Tzer-jen Wei, licensed under CC BY 4.0.
+> https://huggingface.co/datasets/tjw/hmi-transcripts
+
+```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
+
+本檔案為**告知性質**，記錄資料來源、上游條款與使用建議。
+**其內容不對 CC BY 4.0 之授權附加任何條件** —— CC BY 4.0 §2(a)(5)(B) 禁止
+下游附加限制，本文件亦無此意圖。
+
+**1. 資料來源**：30 情境／325 輪全為 `gemma3:27b` 生成之合成內容，無真實
+對話、真實工廠事件或個人資料。
+
+**2. Gemma**：依 Gemma 使用條款 §1.1(e)「Outputs 不視為 Model Derivatives」
+及 §3.3「Google 不主張 Outputs 之權利」，本資料集全部為 Outputs，故 §3.1 之
+散布條件不及於本資料集。著作人已依 §3.2 於生成時遵守 Gemma 禁止用途政策。
+**惟若您以本資料集微調出表現近似 Gemma 之模型**，該模型本身可能構成 Model
+Derivative 而受完整 Gemma 條款拘束；若是在其他 base model 上微調製造領域能力，
+則屬另一情形。請於散布前自行評估。
+
+**3. 情境靈感來源**：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。**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。來源對照見上方英文表格。若您**直接取用**
+該等來源，仍須依其各自授權。
+
+**4. 安全提醒**：對話中的參數值為**合成示例**，非經驗證之工程指引；機台代號與
+數值均為虛構情境設定。著作人**強烈建議**：未經負責工程師獨立驗證，不要將本
+資料集或以其訓練之模型用於驅動真實機台控制、製程參數、維修決策或安全連鎖。
+
+**5. 透明性提醒**：引用或再散布時，請敘明其為 LLM 生成之合成文本。
+
+**6. 姓名標示**：CC BY 4.0 §3(a)(1) 要求標示。建議格式見上方英文段落。

README.md

@@ -1,7 +1,5 @@
 ---
-license: other
-license_name: research-use
-license_link: https://huggingface.co/terms
+license: cc-by-4.0
 language:
   - en
   - zh
@@ -69,10 +67,28 @@ Multi-turn dialogue dataset between manufacturing floor operators and machine in
 
 ## 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.
+- **This dataset**: **[CC BY 4.0](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`](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}
+}
+```
+
 
 ---
 
@@ -131,7 +147,14 @@ Multi-turn dialogue dataset between manufacturing floor operators and machine in
 
 ## 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。
+- **本資料集**：**[CC BY 4.0](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`](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。