kleine fix

Author: devhelpr

src/locales/en.json

@@ -59,7 +59,7 @@
     "syntheticData": {
         "demo": {
             "heading": "Information about demo dataset",
-            "description": "A subset of the [Law School Admission Bar](https://www.kaggle.com/datasets/danofer/law-school-admissions-bar-passage)* dataset is used as a demo. Synthetic data will be generated for the following columns:\n  \n  \n- sex: student gender, i.e. 1 (male), 2 (female);\n- race1: race of student, i.e., asian, black, hispanic, white, other;\n- ugpa: undergraduate GPA of student (average course grades), continous variable;\n- bar: Ground truth label indicating whether or not the student passed the bar, i.e., passed 1st time, passed 2nd time, failed, non-graduated.\n  \n  \n\nThe CART method will be used  evaluate the distribution and correlation differences between the real and synthetic data.\n  \n  \n\n*The original paper can be found [here](https://files.eric.ed.gov/fulltext/ED469370.pdf)\n \n  \n 0. Preview of the dataset"
+            "description": "A subset of the [Law School Admission Bar](https://www.kaggle.com/datasets/danofer/law-school-admissions-bar-passage)* dataset is used as a demo. Synthetic data will be generated for the following columns:\n  \n  \n- sex: student gender, i.e. 1 (male), 2 (female);\n- race1: race of student, i.e., asian, black, hispanic, white, other;\n- ugpa: undergraduate GPA of student (average course grades), continous variable;\n- bar: Ground truth label indicating whether or not the student passed the bar, i.e., passed 1st time, passed 2nd time, failed, non-graduated.\n  \n  \n\nThe CART method will be used  evaluate the distribution and correlation differences between the real and synthetic data.\n  \n  \n\n*The original paper can be found [here](https://files.eric.ed.gov/fulltext/ED469370.pdf)\n \n  \n"
         },
         "exportToPDF": "Download evaluation report as pdf",
         "exportToJSON": "Download synthetic data as json",