update attribution

README.md

@@ -5,6 +5,7 @@ task_categories:
 - feature-extraction
 - tabular-classification
 language:
+- no
 - af
 - en
 - et
@@ -31,7 +32,6 @@ language:
 - id
 - sk
 - lt
-- no
 - lv
 - vi
 - it
@@ -105,6 +105,10 @@ For training, I split the classification task into two stages in anticipation of
 This way, I can make the most out of the limited phishing websites avaliable.
 
 
+## Attribution
+- For personal projects, please cite this dataset or [Aivance](https://huggingface.co/aivance) in your `README.md`.
+- If you plan to use this dataset (either directly or indirectly) for commerical purposes, please cite this dataset or [Aivance](https://huggingface.co/aivance) somewhere on your app/service website. Thank you for your coopration.
+
 ## Source of the URLs
 - https://moz.com/top500
 - https://phishtank.org/phish_search.php?valid=y&active=y&Search=Search
@@ -119,9 +123,5 @@ This way, I can make the most out of the limited phishing websites avaliable.
 - https://www.kaggle.com/datasets/shashwatwork/web-page-phishing-detection-dataset
 - https://www.kaggle.com/datasets/aman9d/phishing-data
 
-## Attribution
-- For personal projects, please include this dataset in your `README.md`.
-- If you plan to use this dataset (either directly or indirectly) for commerical purposes, please cite this dataset somewhere on your app/service website. Thank you for your coopration.
-
 ## Side notes
 - Cloudflare offers an [API for phishing URL scanning](https://developers.cloudflare.com/api/operations/phishing-url-information-get-results-for-a-url-scan), with a generous global rate limit of 1200 requests every 5 minutes.