Update README.md

README.md

@@ -1,14 +1,14 @@
 ---
-license: apache-2.0
+license: cc-by-nc-3.0
 language:
 - en
 size_categories:
 - 10B<n<100B
 configs:
-  - config_name: default
-    data_files:
-      - split: train
-        path: data_info.jsonl
+- config_name: default
+  data_files:
+  - split: train
+    path: data_info.jsonl
 ---
 
 ---
@@ -167,8 +167,19 @@ DatasetDict({
 # Team <a name="Team"></a>
 PortPy is a community project initiated at [Memorial Sloan Kettering Cancer Center](https://www.mskcc.org/) (MSK). It is currently developed and maintained by [Masoud Zarepisheh](https://masoudzp.github.io/) (Principal Investigator, zarepism@mskcc.org) and [Gourav Jhanwar](https://github.com/gourav3017) (Lead Developer, jhanwarg@mskcc.org). Other team members include: [Mojtaba Tefagh](https://www.ed.ac.uk/profile/mojtaba-tefagh) (Optimization/AI/ML expert from University of Edinburgh), [Linda Hong](https://www.mskcc.org/profile/linda-hong) (Medical Physicist from MSK), [Vicki Taasti](https://scholar.google.com/citations?user=PEPyvewAAAAJ&hl=en) (Proton Physicist from Aarhus University), and [Saad Nadeem](https://nadeemlab.org/) (AI/Imaging expert from MSK). 
 
-# License <a name="License"></a>
-PortPy code is distributed under **Apache 2.0 with Commons Clause** license, and is available for non-commercial academic purposes.
+## Attribution
+
+This dataset is derived from the publicly available NSCLC-Radiomics dataset hosted on [The Cancer Imaging Archive (TCIA)](https://www.cancerimagingarchive.net/collection/nsclc-radiomics/).
+
+Original Data Citation:
+Aerts, H. J. W. L., Wee, L., Rios Velazquez, E., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., Hoebers, F., Rietbergen, M. M., Leemans, C. R., Dekker, A., Quackenbush, J., Gillies, R. J., Lambin, P. (2014). Data From NSCLC-Radiomics (version 4) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.PF0M9REI 
+
+The original imaging data was processed by the authors of this repository by:
+- Adding beam configurations.
+- Creating influence matrices suitable for radiotherapy treatment planning.
+- Storing the data in the standardized [PortPy](https://github.com/PortPy/PortPy) data format for research and educational purposes.
+
+These modifications are independent and TCIA is not responsible for any alterations made to the original data.  
 
 # Reference <a name="Reference"></a>
 If you find our work useful in your research or if you use parts of this code please cite our [AAPM'23 abstract](https://aapm.confex.com/aapm/2023am/meetingapp.cgi/Paper/4208) :
@@ -179,4 +190,4 @@ If you find our work useful in your research or if you use parts of this code pl
   journal={AAPM 65th Annual Meeting & Exhibition},
   year={2023}
 }
-```
+```