datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wisconsin-building-codes-qa
Wisconsin Building Codes Q&A Dataset
Dataset Description
This dataset contains 13200 question-answer pairs focused on Wisconsin building codes, specifically covering:
Building code requirements and regulations
Administrative procedures and enforcement
Construction standards and specifications
Permit processes and compliance
Dataset Structure
Training samples: 11880
Validation samples: 1320
Each sample contains:
instruction: A question about Wisconsin… See the full description on the dataset page: https://huggingface.co/datasets/carlscape/wisconsin-building-codes-qa.swiss-building-law-rag-bench
Swiss Cantonal Building Law RAG Benchmark
Evaluation benchmark for Retrieval-Augmented Generation (RAG) systems on Swiss cantonal
building law documents. Created as part of a bachelor thesis on systematic RAG pipeline
optimisation for German legal text.
Dataset contents
File
Entries
Language
Description
data/german/golden_dataset.jsonl
318
DE
German Q&A pairs grounded to article-level passages
data/multilingual/golden_dataset.jsonl
270
DE/FR/IT… See the full description on the dataset page: https://huggingface.co/datasets/MarcoFurrer/swiss-building-law-rag-bench.BuildingDefect_index
Building Defects RAG Index
This dataset contains pre-built retrieval artifacts for the Building Defects
& Quality chatbot. It includes chunked documents, embeddings, and search
indexes ready for deployment.
Purpose
This dataset enables Retrieval-Augmented Generation (RAG) for answering
questions about building defects, construction tolerances, NCC Volume Two
requirements, and VBA Guide to Standards and Tolerances.
Embedding Model
Model: BAAI/bge-small-en-v1.5… See the full description on the dataset page: https://huggingface.co/datasets/sadickam/BuildingDefect_index.