metadata
license: cc-by-nc-nd-4.0
dataset_info:
features:
- name: sentences
sequence: string
- name: labels
sequence: string
splits:
- name: test
num_bytes: 1259522
num_examples: 20
download_size: 318366
dataset_size: 1259522
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
task_categories:
- text-classification
language:
- en
pretty_name: Built-Bench-Clustering-P2P
size_categories:
- 1K<n<10K
Data sources
- Industry Foundation Classes (IFC) published by buildingSmart International: https://ifc43-docs.standards.buildingsmart.org/
- Uniclass product tables published by NBS: https://www.thenbs.com/our-tools/uniclass
License
- cc-by-nc-nd-4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
How to cite
Research paper on the dataset development and validations: https://arxiv.org/abs/2411.12056
@article{shahinmoghadam2024benchmarking,
title={Benchmarking pre-trained text embedding models in aligning built asset information},
author={Shahinmoghadam, Mehrzad and Motamedi, Ali},
journal={arXiv preprint arXiv:2411.12056},
year={2024}
}