|
3 | 3 | "shareButton": "Share", |
4 | 4 | "exportButton": "Export to .json", |
5 | 5 | "getStarted": "Let's get started! Fill out the form.", |
6 | | - "fileUploadError": "Please upload a valid CSV file.", |
| 6 | + "fileUploadError": "Please upload a valid csv file.", |
7 | 7 | "removeButton": "Remove", |
8 | | - "dropzoneLabel": "Drag and drop your CSV file here, or click to select a file", |
| 8 | + "dropzoneLabel": "Drag and drop your csv file here, or click to select a file", |
9 | 9 | "datasetPreview": "Dataset preview showing the first 5 rows.", |
10 | 10 | "error": "Sorry, something went wrong.", |
11 | 11 | "loadingMessage": "Setting up environment...", |
12 | 12 | "mostBiasedCluster": "Most biased\n cluster", |
13 | 13 | "cluster": "Cluster {{value}}", |
14 | | - "exportToPDF": "Export to PDF", |
15 | | - "exportToJSON": "Export synthetic data to JSON", |
| 14 | + "exportToPDF": "Export to pdf", |
| 15 | + "exportToJSON": "Export synthetic data to json", |
16 | 16 | "downloadButton": "Download", |
17 | 17 | "biasSettings": { |
18 | | - "exportToPDF": "Download bias detection report as PDF", |
19 | | - "exportToJSON": "Export clusters as JSON", |
| 18 | + "exportToPDF": "Download bias detection report as pdf", |
| 19 | + "exportToJSON": "Export clusters as json", |
20 | 20 | "form": { |
21 | 21 | "fieldsets": { |
22 | 22 | "data": { |
23 | 23 | "title": "Data", |
24 | | - "dataSet": "Data set", |
| 24 | + "dataSet": "Dataset", |
25 | 25 | "performanceMetric": "Performance metric column" |
26 | 26 | }, |
27 | 27 | "parameters": { |
|
36 | 36 | } |
37 | 37 | }, |
38 | 38 | "errors": { |
39 | | - "csvRequired": "Please upload a CSV file.", |
| 39 | + "csvRequired": "Please upload a csv file.", |
40 | 40 | "targetColumnRequired": "Please select a target column.", |
41 | 41 | "dataTypeRequired": "Please select a data type.", |
42 | | - "noNumericColumns": "No numeric columns found. Please upload a valid data set.", |
| 42 | + "noNumericColumns": "No numeric columns found. Please upload a valid dataset.", |
43 | 43 | "analysisError": "Error while analysing", |
44 | 44 | "noData": "No data loaded" |
45 | 45 | }, |
|
53 | 53 | }, |
54 | 54 | "demoCard": { |
55 | 55 | "title": "Try it out!", |
56 | | - "description": "Do you not have a dataset at hand? No worries use our demo data set." |
| 56 | + "description": "Do you not have a dataset at hand? No worries use our demo dataset." |
57 | 57 | } |
58 | 58 | }, |
59 | 59 | "syntheticData": { |
60 | 60 | "demo": { |
61 | 61 | "heading": "Information about demo dataset", |
62 | | - "description": "**UI text** 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, i.e. asian, black, hispanic, white, other\n- ugpa: The student's undergraduate GPA, 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)." |
| 62 | + "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" |
63 | 63 | }, |
64 | | - "exportToPDF": "Download evaluation report as PDF", |
65 | | - "exportToJSON": "Download synthetic data as JSON", |
66 | | - "exportToCSV": "Download synthetic data as CSV", |
| 64 | + "exportToPDF": "Download evaluation report as pdf", |
| 65 | + "exportToJSON": "Download synthetic data as json", |
| 66 | + "exportToCSV": "Download synthetic data as csv", |
67 | 67 | "form": { |
68 | 68 | "errors": { |
69 | | - "csvRequired": "Please upload a CSV file.", |
| 69 | + "csvRequired": "Please upload a csv file.", |
70 | 70 | "analysisError": "Error while analysing" |
71 | 71 | }, |
72 | 72 | "fieldset": { |
73 | | - "sourceDataset": "Source Dataset", |
| 73 | + "sourceDataset": "Source dataset", |
74 | 74 | "sdgMethod": { |
75 | 75 | "title": "Method", |
76 | | - "cart": "cart", |
| 76 | + "cart": "CART", |
77 | 77 | "gc": "Gaussian Copula" |
78 | 78 | }, |
79 | 79 | "samples": "Number of samples" |
80 | 80 | }, |
81 | 81 | "actions": { |
82 | 82 | "tryItOut": "Try it out", |
83 | | - "runGeneration": "Run Synthetic Data Generation", |
| 83 | + "runGeneration": "Run synthetic data generation", |
84 | 84 | "analyzing": "Analyzing...", |
85 | 85 | "initializing": "Initialising..." |
86 | 86 | } |
87 | 87 | }, |
88 | 88 | "demoCard": { |
89 | 89 | "title": "Try it out!", |
90 | | - "description": "Do you not have a dataset at hand? No worries use our demo data set." |
| 90 | + "description": "Do you not have a dataset at hand? No worries use our demo dataset." |
91 | 91 | }, |
92 | | - "columnsInDataset": "Detected column data-types in dataset", |
93 | | - "columnsInDatasetInfo": "If detected data types are incorrect, please change this locally in the dataset before uploading it again.", |
94 | | - "univariateCharts": "Univariate distributions of the uploaded dataset", |
95 | | - "synthVsReal": "Synthetic vs Real data", |
96 | | - "heatmapCorrelation": "Heatmap correlation" |
| 92 | + "columnsInDataset": "1. Data types detection", |
| 93 | + "columnsInDatasetInfo": "If detected data types are incorrect, please change this locally in the dataset before attaching it again.", |
| 94 | + "univariateCharts": "Univariate distributions of the attached dataset", |
| 95 | + "synthVsReal": "Univariate distributions of synthetic vs real data", |
| 96 | + "heatmapCorrelation": "Correlation matrix" |
97 | 97 | }, |
98 | 98 |
|
99 | 99 | "biasAnalysis": { |
100 | 100 | "demo": { |
101 | 101 | "heading": "Information about demo dataset", |
102 | | - "description": "A demo data set is loaded below. Based on features of tweets, from the dataset [Twitter15], a BERT-based classifier has predicted whether a tweet is fake news or not. False positive classifications are marker in the FP column and will be used as a performance metric is this use case." |
| 102 | + "description": "A demo dataset is loaded below. Based on features of tweets, from the dataset [Twitter15], a BERT-based classifier has predicted whether a tweet is fake news or not. False positive classifications are marker in the FP column and will be used as a performance metric is this use case." |
103 | 103 | }, |
104 | 104 | "parameters": { |
105 | 105 | "heading": "Parameters selected", |
|
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