metadata
license: cc-by-nc-nd-4.0
dataset_info:
features:
- name: query
dtype: string
- name: positive
sequence: string
- name: negative
sequence: string
splits:
- name: test
num_bytes: 1594424
num_examples: 179
download_size: 356648
dataset_size: 1594424
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
language:
- en
size_categories:
- n<1K
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
Note: This dataset refers to reranking-p2p task as introduced in the paper.
@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}
}