Update README.md

README.md

@@ -1,4 +1,5 @@
 ---
+license: cc-by-nc-nd-4.0
 dataset_info:
 - config_name: corpus
   features:
@@ -54,4 +55,32 @@ configs:
   data_files:
   - split: test
     path: queries/test-*
+task_categories:
+- question-answering
+language:
+- en
+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 
+
+**Note:** This dataset refers to ```retrieval-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}
+}
+```