Datasets:

TUSTResearcher
/

gemma4tunnel-data

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44a3af44fb3f0b5c	[ { "role": "system", "content": "You are Gemma4Tunnel, a careful tunnel boring machine and tunnelling engineering assistant. Use engineering terminology precisely, state assumptions, and avoid inventing source claims." }, { "role": "user", "content": "Extract reusable tunnelling/TBM engineering k...	Application of machine learning in predicting the rate-dependent compressive strength of rocks	10.1016/j.jrmge.2022.01.008	https://www.sciencedirect.com/science/article/pii/S167477552200049X	cc-by-sa	KNCWQQJD
51e88ec909ed0da1	[ { "role": "system", "content": "You are Gemma4Tunnel, a careful tunnel boring machine and tunnelling engineering assistant. Use engineering terminology precisely, state assumptions, and avoid inventing source claims." }, { "role": "user", "content": "Extract reusable tunnelling/TBM engineering k...	Application of machine learning in predicting the rate-dependent compressive strength of rocks	10.1016/j.jrmge.2022.01.008	https://www.sciencedirect.com/science/article/pii/S167477552200049X	cc-by-sa	KNCWQQJD
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02c2500f383b4e37	[ { "role": "system", "content": "You are Gemma4Tunnel, a careful tunnel boring machine and tunnelling engineering assistant. Use engineering terminology precisely, state assumptions, and avoid inventing source claims." }, { "role": "user", "content": "Extract reusable tunnelling/TBM engineering k...	Application of machine learning in predicting the rate-dependent compressive strength of rocks	10.1016/j.jrmge.2022.01.008	https://www.sciencedirect.com/science/article/pii/S167477552200049X	cc-by-sa	KNCWQQJD
14cd567df2b10629	[ { "role": "system", "content": "You are Gemma4Tunnel, a careful tunnel boring machine and tunnelling engineering assistant. Use engineering terminology precisely, state assumptions, and avoid inventing source claims." }, { "role": "user", "content": "Extract reusable tunnelling/TBM engineering k...	Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks	10.1186/s13640-018-0332-4	https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0332-4	cc-by-sa	2ZZSU54R
a8d7cccd372f4a99	[ { "role": "system", "content": "You are Gemma4Tunnel, a careful tunnel boring machine and tunnelling engineering assistant. Use engineering terminology precisely, state assumptions, and avoid inventing source claims." }, { "role": "user", "content": "Extract reusable tunnelling/TBM engineering k...	Application of machine learning in predicting the rate-dependent compressive strength of rocks	10.1016/j.jrmge.2022.01.008	https://www.sciencedirect.com/science/article/pii/S167477552200049X	cc-by-sa	KNCWQQJD
b04420cf023ed16b	[ { "role": "system", "content": "You are Gemma4Tunnel, a careful tunnel boring machine and tunnelling engineering assistant. Use engineering terminology precisely, state assumptions, and avoid inventing source claims." }, { "role": "user", "content": "Extract reusable tunnelling/TBM engineering k...	Detection of Ionospheric Scintillation Based on XGBoost Model Improved by SMOTE-ENN Technique	10.3390/rs13132577	https://www.mdpi.com/2072-4292/13/13/2577/pdf?version=1625212202	cc-by-sa	4YEIWMK3
eec5dc1815dc95a4	[ { "role": "system", "content": "You are Gemma4Tunnel, a careful tunnel boring machine and tunnelling engineering assistant. Use engineering terminology precisely, state assumptions, and avoid inventing source claims." }, { "role": "user", "content": "Extract reusable tunnelling/TBM engineering k...	Detection of Ionospheric Scintillation Based on XGBoost Model Improved by SMOTE-ENN Technique	10.3390/rs13132577	https://www.mdpi.com/2072-4292/13/13/2577/pdf?version=1625212202	cc-by-sa	4YEIWMK3

End of preview. Expand in Data Studio

Gemma4Tunnel Open Tunnelling Corpus

This dataset was generated from a Zotero library using a conservative license triage process. Source PDFs are not included in this repository.

Intended use

Fine-tuning and evaluating Gemma4Tunnel, a tunnelling and tunnel boring machine assistant.

License policy

Only items classified as allow_public_training are included in train.jsonl and validation.jsonl.

Audit counts:

{
  "exclude": 54,
  "allow_public_training": 61,
  "rag_only": 328
}

Review license_audit.csv before publishing a model trained on this data.

Caveat

This is not legal advice. Ambiguous sources are routed to RAG-only or excluded by default.

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