Create sample_data.py

sample_data.py

@@ -0,0 +1,249 @@
+COMPLEX_SAMPLE_JSON = """
+{
+  "central_node": "Artificial Intelligence (AI)",
+  "nodes": [
+    {
+      "id": "ml",
+      "label": "Machine Learning (ML)",
+      "relationship": "Core Domain",
+      "subnodes": [
+        {
+          "id": "sl",
+          "label": "Supervised Learning",
+          "relationship": "Learning Paradigm",
+          "subnodes": [
+            {
+              "id": "sl_prob",
+              "label": "Probabilistic Models",
+              "relationship": "Approach Type",
+              "subnodes": [
+                {
+                  "id": "nbc",
+                  "label": "Naive Bayes Classifier",
+                  "relationship": "Algorithm Example",
+                  "subnodes": [
+                    {"id": "text_class", "label": "Text Classification", "relationship": "Application"},
+                    {"id": "spam_det", "label": "Spam Detection", "relationship": "Application"}
+                  ]
+                },
+                {
+                  "id": "lda",
+                  "label": "Linear Discriminant Analysis",
+                  "relationship": "Algorithm Example",
+                  "subnodes": [
+                    {"id": "dim_red_lda", "label": "Dimensionality Reduction", "relationship": "Use Case"},
+                    {"id": "face_recog", "label": "Face Recognition", "relationship": "Use Case"}
+                  ]
+                }
+              ]
+            },
+            {
+              "id": "sl_det",
+              "label": "Deterministic Models",
+              "relationship": "Approach Type",
+              "subnodes": [
+                {
+                  "id": "svm",
+                  "label": "Support Vector Machines (SVM)",
+                  "relationship": "Algorithm Example",
+                  "subnodes": [
+                    {"id": "image_recog", "label": "Image Recognition", "relationship": "Application"},
+                    {"id": "bioinfo", "label": "Bioinformatics", "relationship": "Application"}
+                  ]
+                },
+                {
+                  "id": "dt",
+                  "label": "Decision Trees",
+                  "relationship": "Algorithm Example",
+                  "subnodes": [
+                    {"id": "credit_scoring", "label": "Credit Scoring", "relationship": "Application"},
+                    {"id": "medical_diag", "label": "Medical Diagnosis", "relationship": "Application"}
+                  ]
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "id": "ul",
+          "label": "Unsupervised Learning",
+          "relationship": "Learning Paradigm",
+          "subnodes": [
+            {
+              "id": "clus",
+              "label": "Clustering",
+              "relationship": "Task Type",
+              "subnodes": [
+                {
+                  "id": "kmeans",
+                  "label": "K-Means Clustering",
+                  "relationship": "Algorithm Example",
+                  "subnodes": [
+                    {"id": "customer_seg", "label": "Customer Segmentation", "relationship": "Application"},
+                    {"id": "document_analysis", "label": "Document Analysis", "relationship": "Application"}
+                  ]
+                },
+                {
+                  "id": "dbscan",
+                  "label": "DBSCAN",
+                  "relationship": "Algorithm Example",
+                  "subnodes": [
+                    {"id": "anomaly_det", "label": "Anomaly Detection", "relationship": "Application"},
+                    {"id": "spatial_data", "label": "Spatial Data Analysis", "relationship": "Application"}
+                  ]
+                }
+              ]
+            },
+            {
+              "id": "dim_red_ul",
+              "label": "Dimensionality Reduction",
+              "relationship": "Task Type",
+              "subnodes": [
+                {
+                  "id": "pca",
+                  "label": "Principal Component Analysis (PCA)",
+                  "relationship": "Algorithm Example",
+                  "subnodes": [
+                    {"id": "feature_ext", "label": "Feature Extraction", "relationship": "Use Case"},
+                    {"id": "noise_red", "label": "Noise Reduction", "relationship": "Use Case"}
+                  ]
+                },
+                {
+                  "id": "tsne",
+                  "label": "t-SNE",
+                  "relationship": "Algorithm Example",
+                  "subnodes": [
+                    {"id": "data_viz", "label": "Data Visualization", "relationship": "Application"},
+                    {"id": "genomics", "label": "Genomics", "relationship": "Application"}
+                  ]
+                }
+              ]
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "id": "dl",
+      "label": "Deep Learning (DL)",
+      "relationship": "Subfield of ML",
+      "subnodes": [
+        {
+          "id": "cnn",
+          "label": "Convolutional Neural Networks (CNNs)",
+          "relationship": "Architecture Type",
+          "subnodes": [
+            {
+              "id": "img_class",
+              "label": "Image Classification",
+              "relationship": "Primary Use",
+              "subnodes": [
+                {
+                  "id": "alexnet",
+                  "label": "AlexNet",
+                  "relationship": "Historic Model",
+                  "subnodes": [
+                    {"id": "imagenet", "label": "ImageNet Challenge", "relationship": "Milestone"},
+                    {"id": "gpu_accel", "label": "GPU Acceleration", "relationship": "Enabling Factor"}
+                  ]
+                },
+                {
+                  "id": "resnet",
+                  "label": "ResNet",
+                  "relationship": "Advanced Model",
+                  "subnodes": [
+                    {"id": "residual_con", "label": "Residual Connections", "relationship": "Key Feature"},
+                    {"id": "deeper_nets", "label": "Deeper Networks", "relationship": "Benefit"}
+                  ]
+                }
+              ]
+            },
+            {
+              "id": "obj_det_cnn",
+              "label": "Object Detection",
+              "relationship": "Primary Use",
+              "subnodes": [
+                {
+                  "id": "yolo",
+                  "label": "YOLO (You Only Look Once)",
+                  "relationship": "Real-time Algorithm",
+                  "subnodes": [
+                    {"id": "speed", "label": "High Speed", "relationship": "Advantage"},
+                    {"id": "single_pass", "label": "Single Pass Detection", "relationship": "Mechanism"}
+                  ]
+                },
+                {
+                  "id": "faster_rcnn",
+                  "label": "Faster R-CNN",
+                  "relationship": "Region-based Algorithm",
+                  "subnodes": [
+                    {"id": "region_props", "label": "Region Proposals", "relationship": "Mechanism"},
+                    {"id": "accuracy", "label": "High Accuracy", "relationship": "Advantage"}
+                  ]
+                }
+              ]
+            }
+          ]
+        },
+        {
+          "id": "rnn",
+          "label": "Recurrent Neural Networks (RNNs)",
+          "relationship": "Architecture Type",
+          "subnodes": [
+            {
+              "id": "seq_data",
+              "label": "Sequential Data Processing",
+              "relationship": "Primary Use",
+              "subnodes": [
+                {
+                  "id": "nlp_rnn",
+                  "label": "Natural Language Processing (NLP)",
+                  "relationship": "Application Area",
+                  "subnodes": [
+                    {"id": "text_gen_rnn", "label": "Text Generation", "relationship": "Specific Task"},
+                    {"id": "sentiment_rnn", "label": "Sentiment Analysis", "relationship": "Specific Task"}
+                  ]
+                },
+                {
+                  "id": "speech_rec",
+                  "label": "Speech Recognition",
+                  "relationship": "Application Area",
+                  "subnodes": [
+                    {"id": "voice_assist", "label": "Voice Assistants", "relationship": "Product Example"},
+                    {"id": "transcription", "label": "Audio Transcription", "relationship": "Task"}
+                  ]
+                }
+              ]
+            },
+            {
+              "id": "advanced_rnn",
+              "label": "Advanced RNN Variants",
+              "relationship": "Improvements",
+              "subnodes": [
+                {
+                  "id": "lstm",
+                  "label": "Long Short-Term Memory (LSTM)",
+                  "relationship": "Variant Type",
+                  "subnodes": [
+                    {"id": "vanishing_grad", "label": "Solves Vanishing Gradients", "relationship": "Benefit"},
+                    {"id": "memory_cells", "label": "Internal Memory Cells", "relationship": "Mechanism"}
+                  ]
+                },
+                {
+                  "id": "gru",
+                  "label": "Gated Recurrent Unit (GRU)",
+                  "relationship": "Variant Type",
+                  "subnodes": [
+                    {"id": "simpler_than_lstm", "label": "Simpler Architecture", "relationship": "Characteristic"},
+                    {"id": "comparable_perf", "label": "Comparable Performance", "relationship": "Characteristic"}
+                  ]
+                }
+              ]
+            }
+          ]
+        }
+      ]
+    }
+  ]
+}
+"""