datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
aec-rag-dataset
Lumen-Models: AEC-RAG Dataset
Lumen-Models is the premier conversational dataset designed to fine-tune LLMs and empower RAG (Retrieval-Augmented Generation) systems within the Architecture, Engineering, and Construction (AEC) sector.
This dataset features high-fidelity technical dialogues between a BIM Auditor and a GPT Expert, focused on solving real-world challenges regarding regulatory compliance, complex construction codes, and professional industry standards.
Premium… See the full description on the dataset page: https://huggingface.co/datasets/lumen-models/aec-rag-dataset.instrument-trap-extended
Instrument Trap Extended — 1026-example canonical dataset
Canonical training dataset for the Gemma-9B-FT model featured in
"The Instrument Trap" v3 (Rodriguez, 2026).
This dataset trains the v3 headline model (internally logos29). It
extends instrument-trap-core (895 examples) with targeted
modifications that resolve a failure mode discovered during ablation:
identity-based honesty is fragile without structural anchoring.
Paper (v3): forthcoming
Paper (v2): DOI… See the full description on the dataset page: https://huggingface.co/datasets/LumenSyntax/instrument-trap-extended.instrument-trap-core
Instrument Trap Core — 895-example replication dataset
Replication dataset for "The Instrument Trap" (Rodriguez, 2026).
This is the 895-example training set used to reproduce epistemologically
grounded fine-tuning across eight architecture families — Google
Gemma (1B/2B/9B/27B), Meta Llama 3.1 8B, NVIDIA Nemotron 4B, Stability
StableLM 1.6B, Alibaba Qwen 2.5 7B, and Mistral 7B.
Paper (v2): DOI 10.5281/zenodo.18716474
(concept DOI: 10.5281/zenodo.18644321)
Paper (v3): forthcoming… See the full description on the dataset page: https://huggingface.co/datasets/LumenSyntax/instrument-trap-core.