Upload paper_metadata_summary_normalized.json

paper_metadata_summary_normalized.json

@@ -11,7 +11,7 @@
     "closed_model_dependency": "closed_model_dependency_norm",
     "deployment_readiness": "deployment_readiness_norm",
     "replication_difficulty": "replication_difficulty_norm",
-    "extraction_confidence": "extraction_confidence_norm"
+    "extraction_confidence": "extraction_confidence"
   },
   "year_range": {
     "min": 1970,
@@ -82,20 +82,20 @@
   "scalar_distributions": {
     "runtime_cost": [
       {
-        "value": "None specified",
-        "count": 9470
+        "value": "moderate",
+        "count": 10005
       },
       {
-        "value": "moderate",
-        "count": 5449
+        "value": "None specified",
+        "count": 4287
       },
       {
         "value": "high",
-        "count": 1250
+        "count": 1703
       },
       {
         "value": "low",
-        "count": 622
+        "count": 796
       },
       {
         "value": "very_high",
@@ -105,87 +105,83 @@
     "human_eval_required": [
       {
         "value": "no",
-        "count": 13295
+        "count": 12716
       },
       {
         "value": "yes",
-        "count": 1848
+        "count": 2959
       },
       {
         "value": "None specified",
-        "count": 1663
+        "count": 1131
       }
     ],
     "closed_model_dependency": [
       {
         "value": "no",
-        "count": 13582
+        "count": 12732
       },
       {
         "value": "yes",
-        "count": 2688
+        "count": 3818
       },
       {
         "value": "None specified",
-        "count": 536
+        "count": 256
       }
     ],
     "deployment_readiness": [
       {
         "value": "research_prototype",
-        "count": 8833
+        "count": 8482
       },
       {
         "value": "conceptual",
-        "count": 4538
+        "count": 4165
       },
       {
         "value": "replicable_research",
-        "count": 3397
+        "count": 4123
       },
       {
         "value": "deployed",
-        "count": 22
+        "count": 25
       },
       {
         "value": "near_deployment",
-        "count": 12
+        "count": 10
       },
       {
         "value": "None specified",
-        "count": 4
+        "count": 1
       }
     ],
     "replication_difficulty": [
       {
         "value": "medium",
-        "count": 12495
+        "count": 11382
       },
       {
         "value": "low",
-        "count": 3325
+        "count": 3232
       },
       {
         "value": "high",
-        "count": 845
+        "count": 2150
       },
       {
-        "value": "None specified",
-        "count": 129
+        "value": "very_high",
+        "count": 26
       },
       {
-        "value": "very_high",
-        "count": 12
+        "value": "None specified",
+        "count": 16
       }
     ],
     "extraction_confidence": [
       {
-        "value": "high",
-        "count": 16700
-      },
-      {
-        "value": "medium",
-        "count": 106
+        "value": "None specified",
+        "count": 16806
       }
     ]
   },
@@ -193,1110 +189,1110 @@
     "code": [
       {
         "value": "None specified",
-        "count": 12808
+        "count": 10430
       },
       {
         "value": "available",
-        "count": 2482
+        "count": 3539
       },
       {
         "value": "mentioned_no_link",
-        "count": 1516
+        "count": 2837
       }
     ],
     "data": [
       {
         "value": "None specified",
-        "count": 13419
+        "count": 8817
       },
       {
         "value": "mentioned_no_link",
-        "count": 1711
+        "count": 4450
       },
       {
         "value": "available",
-        "count": 1676
+        "count": 3539
       }
     ],
     "checkpoints": [
       {
         "value": "None specified",
-        "count": 16608
+        "count": 16007
       },
       {
-        "value": "available",
-        "count": 124
+        "value": "mentioned_no_link",
+        "count": 590
       },
       {
-        "value": "mentioned_no_link",
-        "count": 74
+        "value": "available",
+        "count": 209
       }
     ]
   },
   "top_safety_areas": [
     {
       "value": "other_ai_safety",
-      "count": 10454
+      "count": 11784
     },
     {
       "value": "adversarial_robustness",
-      "count": 5299
+      "count": 5930
     },
     {
       "value": "model_security",
-      "count": 3438
+      "count": 5525
     },
     {
       "value": "harmful_content_eval",
-      "count": 2556
+      "count": 3653
     },
     {
       "value": "governance_adjacent",
-      "count": 2447
+      "count": 2505
     },
     {
       "value": "fairness_bias",
-      "count": 1417
+      "count": 1567
     },
     {
-      "value": "privacy_inference_attacks",
-      "count": 1311
+      "value": "alignment",
+      "count": 1542
     },
     {
       "value": "interpretability_safety",
-      "count": 1172
+      "count": 1494
     },
     {
-      "value": "alignment",
-      "count": 917
+      "value": "privacy_inference_attacks",
+      "count": 1337
     },
     {
-      "value": "backdoors_poisoning",
-      "count": 456
+      "value": "red_teaming",
+      "count": 813
     },
     {
       "value": "prompt_injection_jailbreaks",
-      "count": 423
+      "count": 667
     },
     {
-      "value": "agent_safety",
-      "count": 418
+      "value": "backdoors_poisoning",
+      "count": 630
     },
     {
-      "value": "red_teaming",
-      "count": 406
+      "value": "agent_safety",
+      "count": 562
     },
     {
       "value": "mech_interp",
-      "count": 186
+      "count": 305
     },
     {
       "value": "safe_rl",
-      "count": 132
+      "count": 217
     }
   ],
   "top_attack_or_defense": [
     {
       "value": "evaluation",
-      "count": 14662
+      "count": 15280
     },
     {
       "value": "defense",
-      "count": 6626
+      "count": 7492
     },
     {
       "value": "theory",
-      "count": 4130
+      "count": 5084
     },
     {
       "value": "governance",
-      "count": 2291
+      "count": 2386
     },
     {
       "value": "attack",
-      "count": 1615
+      "count": 1821
     }
   ],
   "top_threat_models": [
     {
       "value": "black_box",
-      "count": 7647
+      "count": 9240
     },
     {
       "value": "inference_time",
-      "count": 5328
+      "count": 7643
     },
     {
       "value": "white_box",
-      "count": 4132
+      "count": 5929
     },
     {
       "value": "training_time",
-      "count": 2961
+      "count": 3778
     },
     {
       "value": "human_in_the_loop",
-      "count": 2284
+      "count": 3689
     },
     {
       "value": "api_only",
-      "count": 1307
+      "count": 2505
+    },
+    {
+      "value": "retrieval_enabled",
+      "count": 1575
     },
     {
       "value": "multimodal",
-      "count": 912
+      "count": 787
     },
     {
       "value": "agentic",
-      "count": 720
+      "count": 756
     },
     {
-      "value": "retrieval_enabled",
-      "count": 634
+      "value": "gray_box",
+      "count": 680
     },
     {
       "value": "physical_robotic",
-      "count": 511
-    },
-    {
-      "value": "gray_box",
-      "count": 184
+      "count": 323
     }
   ],
   "top_target_systems": [
     {
       "value": "other",
-      "count": 7255
+      "count": 8684
     },
     {
-      "value": "classifier",
-      "count": 4904
+      "value": "llm",
+      "count": 6079
     },
     {
-      "value": "llm",
-      "count": 4485
+      "value": "classifier",
+      "count": 5004
     },
     {
       "value": "multimodal_model",
-      "count": 1288
+      "count": 2166
     },
     {
       "value": "agentic_system",
-      "count": 1150
+      "count": 1838
     },
     {
       "value": "autonomous_system",
-      "count": 932
+      "count": 752
     },
     {
       "value": "vlm",
-      "count": 559
+      "count": 748
     },
     {
       "value": "rl_agent",
-      "count": 380
+      "count": 573
     },
     {
       "value": "code_model",
-      "count": 162
+      "count": 211
     },
     {
-      "value": "speech_model",
-      "count": 160
+      "value": "recommender",
+      "count": 152
     },
     {
-      "value": "recommender",
-      "count": 157
+      "value": "speech_model",
+      "count": 136
     },
     {
       "value": "diffusion_model",
-      "count": 96
+      "count": 102
     }
   ],
   "top_harm_types": [
     {
       "value": "reliability_failure",
-      "count": 7910
+      "count": 10493
     },
     {
       "value": "other",
-      "count": 5327
+      "count": 5628
     },
     {
       "value": "content_harm",
-      "count": 2843
+      "count": 3537
     },
     {
       "value": "privacy_leak",
-      "count": 2099
+      "count": 2521
     },
     {
       "value": "bias_unfairness",
-      "count": 2003
+      "count": 2200
+    },
+    {
+      "value": "cyber_abuse",
+      "count": 1945
     },
     {
       "value": "misuse_abuse",
-      "count": 1449
+      "count": 1754
     },
     {
       "value": "unsafe_autonomy",
-      "count": 1423
+      "count": 1660
     },
     {
-      "value": "cyber_abuse",
-      "count": 1358
+      "value": "prompt_compromise",
+      "count": 1490
     },
     {
       "value": "data_poisoning",
-      "count": 796
-    },
-    {
-      "value": "prompt_compromise",
-      "count": 694
+      "count": 975
     },
     {
       "value": "deception",
-      "count": 692
+      "count": 780
     },
     {
       "value": "reward_hacking",
-      "count": 34
+      "count": 35
     }
   ],
   "top_target_models": [
+    {
+      "value": "GPT-4o",
+      "count": 792
+    },
     {
       "value": "BERT",
-      "count": 813
+      "count": 742
     },
     {
       "value": "SVM",
-      "count": 666
+      "count": 718
     },
     {
       "value": "Random Forest",
-      "count": 633
-    },
-    {
-      "value": "GPT-4o",
-      "count": 623
+      "count": 642
     },
     {
       "value": "GPT-4",
-      "count": 620
+      "count": 598
     },
     {
       "value": "CNN",
-      "count": 466
+      "count": 509
     },
     {
       "value": "LSTM",
-      "count": 423
+      "count": 452
     },
     {
-      "value": "ChatGPT",
-      "count": 376
+      "value": "Logistic Regression",
+      "count": 389
     },
     {
-      "value": "Logistic Regression",
-      "count": 331
+      "value": "ChatGPT",
+      "count": 387
     },
     {
       "value": "Decision Tree",
-      "count": 328
+      "count": 341
     },
     {
-      "value": "RoBERTa",
-      "count": 328
+      "value": "Naive Bayes",
+      "count": 330
     },
     {
-      "value": "Naive Bayes",
-      "count": 304
+      "value": "KNN",
+      "count": 320
     },
     {
-      "value": "GPT-3.5",
-      "count": 296
+      "value": "RoBERTa",
+      "count": 312
     },
     {
       "value": "ResNet-50",
-      "count": 293
+      "count": 305
     },
     {
-      "value": "KNN",
-      "count": 282
+      "value": "GPT-3.5",
+      "count": 292
+    },
+    {
+      "value": "GPT-4o-mini",
+      "count": 266
     },
     {
       "value": "XGBoost",
-      "count": 235
+      "count": 242
     },
     {
       "value": "DeepSeek-R1",
-      "count": 221
+      "count": 242
     },
     {
       "value": "ResNet-18",
-      "count": 208
-    },
-    {
-      "value": "VGG-16",
-      "count": 200
+      "count": 234
     },
     {
-      "value": "Llama",
-      "count": 196
+      "value": "Llama-3.1-8B-Instruct",
+      "count": 230
     },
     {
-      "value": "GPT-4o-mini",
-      "count": 195
+      "value": "VGG-16",
+      "count": 216
     },
     {
       "value": "Llama-3.1-8B",
-      "count": 188
+      "count": 201
     },
     {
-      "value": "Llama-3.1-8B-Instruct",
-      "count": 160
+      "value": "GPT-3.5-turbo",
+      "count": 187
     },
     {
-      "value": "GPT-2",
-      "count": 158
+      "value": "MLP",
+      "count": 184
     },
     {
-      "value": "GPT-3",
-      "count": 157
+      "value": "DeepSeek-V3",
+      "count": 171
     },
     {
-      "value": "DNN",
-      "count": 150
+      "value": "GPT-2",
+      "count": 169
     },
     {
-      "value": "Mistral-7B",
-      "count": 149
+      "value": "Qwen2.5-7B-Instruct",
+      "count": 166
     },
     {
-      "value": "Llama-3",
-      "count": 141
+      "value": "Mistral-7B",
+      "count": 164
     },
     {
-      "value": "RNN",
-      "count": 140
+      "value": "BiLSTM",
+      "count": 159
     },
     {
-      "value": "GPT-3.5-turbo",
-      "count": 138
+      "value": "GPT-3",
+      "count": 152
     }
   ],
   "top_datasets_benchmarks": [
     {
       "value": "CIFAR-10",
-      "count": 598
+      "count": 607
     },
     {
       "value": "MNIST",
-      "count": 532
-    },
-    {
-      "value": "ImageNet",
-      "count": 333
+      "count": 547
     },
     {
       "value": "NSL-KDD",
-      "count": 327
+      "count": 347
     },
     {
       "value": "GSM8K",
-      "count": 266
+      "count": 321
+    },
+    {
+      "value": "ImageNet",
+      "count": 308
     },
     {
       "value": "CICIDS2017",
-      "count": 229
+      "count": 245
     },
     {
       "value": "UNSW-NB15",
-      "count": 219
+      "count": 235
     },
     {
       "value": "CIFAR-100",
-      "count": 209
+      "count": 226
     },
     {
-      "value": "Fashion-MNIST",
-      "count": 147
+      "value": "MMLU",
+      "count": 221
     },
     {
-      "value": "MMLU",
-      "count": 146
+      "value": "MATH-500",
+      "count": 176
     },
     {
-      "value": "CelebA",
-      "count": 130
+      "value": "Fashion-MNIST",
+      "count": 152
     },
     {
       "value": "MATH",
-      "count": 120
+      "count": 141
     },
     {
-      "value": "MATH-500",
-      "count": 120
+      "value": "CelebA",
+      "count": 134
     },
     {
-      "value": "IMDB",
-      "count": 109
+      "value": "AdvBench",
+      "count": 124
     },
     {
-      "value": "Adult",
-      "count": 106
+      "value": "SST-2",
+      "count": 117
     },
     {
-      "value": "SVHN",
-      "count": 92
+      "value": "Adult",
+      "count": 115
     },
     {
-      "value": "AdvBench",
-      "count": 91
+      "value": "IMDB",
+      "count": 113
     },
     {
-      "value": "SST-2",
-      "count": 89
+      "value": "SVHN",
+      "count": 102
     },
     {
-      "value": "Twitter",
-      "count": 86
+      "value": "TruthfulQA",
+      "count": 99
     },
     {
       "value": "Drebin",
-      "count": 81
+      "count": 97
     },
     {
-      "value": "Bot-IoT",
-      "count": 80
+      "value": "TriviaQA",
+      "count": 95
     },
     {
-      "value": "TriviaQA",
-      "count": 79
+      "value": "HumanEval",
+      "count": 88
     },
     {
-      "value": "AG News",
-      "count": 75
+      "value": "Twitter",
+      "count": 87
     },
     {
-      "value": "HotpotQA",
-      "count": 72
+      "value": "Bot-IoT",
+      "count": 87
     },
     {
-      "value": "FaceForensics++",
-      "count": 71
+      "value": "MT-Bench",
+      "count": 84
     },
     {
-      "value": "COMPAS",
-      "count": 70
+      "value": "PubMed",
+      "count": 82
     },
     {
-      "value": "TruthfulQA",
-      "count": 69
+      "value": "AG News",
+      "count": 82
     },
     {
-      "value": "COCO",
-      "count": 64
+      "value": "AIME 2024",
+      "count": 80
     },
     {
-      "value": "SQuAD",
-      "count": 63
+      "value": "HotpotQA",
+      "count": 79
     },
     {
-      "value": "CSE-CIC-IDS2018",
-      "count": 60
+      "value": "FaceForensics++",
+      "count": 78
     }
   ],
   "top_baselines_compared": [
     {
       "value": "SVM",
-      "count": 444
+      "count": 900
     },
     {
       "value": "Random Forest",
-      "count": 402
+      "count": 784
     },
     {
       "value": "Logistic Regression",
-      "count": 272
+      "count": 523
+    },
+    {
+      "value": "KNN",
+      "count": 501
     },
     {
       "value": "Naive Bayes",
-      "count": 224
+      "count": 493
     },
     {
       "value": "Decision Tree",
-      "count": 224
+      "count": 482
     },
     {
-      "value": "KNN",
-      "count": 202
+      "value": "CNN",
+      "count": 388
     },
     {
       "value": "LSTM",
-      "count": 173
+      "count": 361
     },
     {
-      "value": "BERT",
-      "count": 160
+      "value": "GPT-4o",
+      "count": 338
     },
     {
-      "value": "CNN",
-      "count": 157
+      "value": "XGBoost",
+      "count": 244
     },
     {
-      "value": "GPT-4o",
-      "count": 127
+      "value": "BERT",
+      "count": 219
     },
     {
-      "value": "XGBoost",
-      "count": 103
+      "value": "MLP",
+      "count": 213
     },
     {
-      "value": "GPT-4",
-      "count": 81
+      "value": "AdaBoost",
+      "count": 163
     },
     {
-      "value": "GPT-3.5",
-      "count": 75
+      "value": "FedAvg",
+      "count": 154
     },
     {
-      "value": "BiLSTM",
-      "count": 71
+      "value": "RF",
+      "count": 153
     },
     {
-      "value": "RoBERTa",
-      "count": 71
+      "value": "BiLSTM",
+      "count": 142
     },
     {
       "value": "DPO",
-      "count": 69
-    },
-    {
-      "value": "AdaBoost",
-      "count": 64
+      "count": 136
     },
     {
       "value": "RNN",
-      "count": 54
+      "count": 134
     },
     {
-      "value": "GRU",
-      "count": 52
+      "value": "DNN",
+      "count": 133
     },
     {
-      "value": "MLP",
-      "count": 51
+      "value": "SFT",
+      "count": 130
     },
     {
-      "value": "FedAvg",
-      "count": 49
+      "value": "GRU",
+      "count": 118
     },
     {
-      "value": "ANN",
-      "count": 45
+      "value": "GPT-4",
+      "count": 118
     },
     {
-      "value": "DeepSeek-R1",
-      "count": 43
+      "value": "RoBERTa",
+      "count": 114
     },
     {
-      "value": "LIME",
-      "count": 42
+      "value": "GPT-3.5",
+      "count": 113
     },
     {
-      "value": "state-of-the-art methods",
-      "count": 41
+      "value": "ANN",
+      "count": 112
     },
     {
-      "value": "SHAP",
-      "count": 41
+      "value": "DT",
+      "count": 96
     },
     {
-      "value": "existing methods",
-      "count": 38
+      "value": "LR",
+      "count": 94
     },
     {
-      "value": "traditional methods",
-      "count": 36
+      "value": "DeepSeek-R1",
+      "count": 86
     },
     {
-      "value": "Gradient Boosting",
-      "count": 33
+      "value": "FGSM",
+      "count": 85
     },
     {
-      "value": "FGSM",
-      "count": 32
+      "value": "LIME",
+      "count": 83
     }
   ],
   "top_evaluation_metrics": [
     {
       "value": "Accuracy",
-      "count": 6014
+      "count": 6492
     },
     {
       "value": "F1",
-      "count": 3727
+      "count": 3838
     },
     {
       "value": "Precision",
-      "count": 2268
+      "count": 3058
     },
     {
       "value": "Recall",
-      "count": 2208
+      "count": 2945
     },
     {
       "value": "AUC",
-      "count": 942
+      "count": 1335
     },
     {
       "value": "FPR",
-      "count": 634
+      "count": 905
     },
     {
       "value": "Attack Success Rate",
-      "count": 493
+      "count": 580
     },
     {
       "value": "TPR",
-      "count": 339
-    },
-    {
-      "value": "Detection Rate",
-      "count": 268
+      "count": 458
     },
     {
       "value": "Macro-F1",
-      "count": 250
+      "count": 389
     },
     {
       "value": "Specificity",
-      "count": 232
+      "count": 361
+    },
+    {
+      "value": "Detection Rate",
+      "count": 334
     },
     {
       "value": "Sensitivity",
-      "count": 229
+      "count": 333
     },
     {
-      "value": "BLEU",
-      "count": 221
+      "value": "FNR",
+      "count": 324
     },
     {
       "value": "Success Rate",
-      "count": 204
+      "count": 271
     },
     {
-      "value": "FNR",
-      "count": 194
+      "value": "AUROC",
+      "count": 229
     },
     {
-      "value": "AUROC",
-      "count": 178
+      "value": "BLEU",
+      "count": 216
     },
     {
-      "value": "EER",
-      "count": 143
+      "value": "ROC",
+      "count": 211
     },
     {
-      "value": "ROUGE",
-      "count": 139
+      "value": "MSE",
+      "count": 208
     },
     {
-      "value": "False Alarm Rate",
-      "count": 129
+      "value": "Cohen's Kappa",
+      "count": 208
     },
     {
-      "value": "SSIM",
-      "count": 120
+      "value": "RMSE",
+      "count": 197
     },
     {
-      "value": "MSE",
-      "count": 114
+      "value": "Pearson correlation",
+      "count": 173
+    },
+    {
+      "value": "SSIM",
+      "count": 170
     },
     {
       "value": "Perplexity",
-      "count": 111
+      "count": 167
     },
     {
       "value": "ROUGE-L",
-      "count": 110
+      "count": 167
     },
     {
-      "value": "RMSE",
-      "count": 108
+      "value": "False Alarm Rate",
+      "count": 166
     },
     {
       "value": "PSNR",
-      "count": 107
-    },
-    {
-      "value": "Pass@1",
-      "count": 103
+      "count": 161
     },
     {
-      "value": "MAE",
-      "count": 91
+      "value": "EER",
+      "count": 160
     },
     {
-      "value": "MCC",
-      "count": 81
+      "value": "Cosine Similarity",
+      "count": 157
     },
     {
-      "value": "Exact Match",
-      "count": 72
+      "value": "MAE",
+      "count": 153
     },
     {
-      "value": "BERTScore",
-      "count": 71
+      "value": "Pass@1",
+      "count": 150
     }
   ],
   "top_setup_requirements": {
     "models": [
-      {
-        "value": "BERT",
-        "count": 837
-      },
-      {
-        "value": "SVM",
-        "count": 744
-      },
       {
         "value": "Random Forest",
-        "count": 731
+        "count": 945
       },
       {
-        "value": "GPT-4",
-        "count": 648
+        "value": "SVM",
+        "count": 939
       },
       {
         "value": "GPT-4o",
-        "count": 641
+        "count": 912
       },
       {
         "value": "CNN",
-        "count": 559
+        "count": 678
+      },
+      {
+        "value": "BERT",
+        "count": 677
       },
       {
         "value": "LSTM",
-        "count": 550
+        "count": 648
       },
       {
         "value": "Logistic Regression",
-        "count": 410
+        "count": 629
       },
       {
-        "value": "ChatGPT",
-        "count": 366
+        "value": "GPT-4",
+        "count": 624
       },
       {
         "value": "Decision Tree",
-        "count": 343
+        "count": 476
       },
       {
-        "value": "RoBERTa",
-        "count": 337
+        "value": "KNN",
+        "count": 425
       },
       {
         "value": "Naive Bayes",
-        "count": 331
+        "count": 423
       },
       {
         "value": "ResNet-50",
-        "count": 315
+        "count": 399
       },
       {
-        "value": "KNN",
-        "count": 308
+        "value": "GPT-4o-mini",
+        "count": 350
       },
       {
-        "value": "GPT-3.5",
-        "count": 303
+        "value": "ChatGPT",
+        "count": 325
       },
       {
         "value": "XGBoost",
-        "count": 252
+        "count": 319
       },
       {
-        "value": "DeepSeek-R1",
-        "count": 227
+        "value": "ResNet-18",
+        "count": 312
       },
       {
-        "value": "ResNet-18",
-        "count": 224
+        "value": "RoBERTa",
+        "count": 290
       },
       {
-        "value": "VGG-16",
-        "count": 216
+        "value": "GPT-3.5",
+        "count": 280
       },
       {
-        "value": "GPT-4o-mini",
-        "count": 201
+        "value": "Llama-3.1-8B-Instruct",
+        "count": 276
+      },
+      {
+        "value": "VGG-16",
+        "count": 269
       }
     ],
     "datasets": [
       {
         "value": "CIFAR-10",
-        "count": 599
+        "count": 613
       },
       {
         "value": "MNIST",
-        "count": 536
+        "count": 549
       },
       {
         "value": "ImageNet",
-        "count": 341
+        "count": 324
       },
       {
         "value": "NSL-KDD",
-        "count": 325
+        "count": 322
       },
       {
         "value": "GSM8K",
-        "count": 261
+        "count": 297
       },
       {
         "value": "CICIDS2017",
+        "count": 229
+      },
+      {
+        "value": "CIFAR-100",
         "count": 227
       },
       {
         "value": "UNSW-NB15",
-        "count": 216
+        "count": 221
       },
       {
-        "value": "CIFAR-100",
-        "count": 210
+        "value": "MMLU",
+        "count": 165
       },
       {
-        "value": "Fashion-MNIST",
-        "count": 145
+        "value": "MATH-500",
+        "count": 162
       },
       {
-        "value": "CelebA",
-        "count": 129
+        "value": "Fashion-MNIST",
+        "count": 152
       },
       {
-        "value": "MMLU",
-        "count": 121
+        "value": "CelebA",
+        "count": 138
       },
       {
-        "value": "MATH-500",
-        "count": 119
+        "value": "MATH",
+        "count": 136
       },
       {
-        "value": "MATH",
-        "count": 117
+        "value": "AdvBench",
+        "count": 122
       },
       {
         "value": "IMDB",
-        "count": 108
+        "count": 114
       },
       {
         "value": "Adult",
-        "count": 105
-      },
-      {
-        "value": "SVHN",
-        "count": 92
+        "count": 111
       },
       {
-        "value": "AdvBench",
-        "count": 90
+        "value": "SST-2",
+        "count": 104
       },
       {
-        "value": "SST-2",
-        "count": 85
+        "value": "SVHN",
+        "count": 100
       },
       {
-        "value": "Twitter",
-        "count": 83
+        "value": "TriviaQA",
+        "count": 90
       },
       {
-        "value": "Drebin",
-        "count": 80
+        "value": "AG News",
+        "count": 84
       }
     ],
     "hardware": [
       {
-        "value": "GPU",
-        "count": 73
+        "value": "16 GB RAM",
+        "count": 230
       },
       {
-        "value": "1 NVIDIA A100 GPU",
-        "count": 63
+        "value": "8 GB RAM",
+        "count": 133
       },
       {
-        "value": "8 NVIDIA A100 GPUs",
-        "count": 41
+        "value": "32 GB RAM",
+        "count": 128
       },
       {
-        "value": "4 NVIDIA A100 GPUs",
-        "count": 34
+        "value": "GPU",
+        "count": 106
       },
       {
-        "value": "1 NVIDIA A100 80GB GPU",
-        "count": 29
+        "value": "64 GB RAM",
+        "count": 87
       },
       {
-        "value": "NVIDIA A100",
-        "count": 27
+        "value": "16GB RAM",
+        "count": 74
       },
       {
-        "value": "4 NVIDIA A100 80GB GPUs",
-        "count": 22
+        "value": "1 GPU",
+        "count": 64
       },
       {
-        "value": "1 NVIDIA H100 GPU",
-        "count": 22
+        "value": "128 GB RAM",
+        "count": 57
       },
       {
-        "value": "1 NVIDIA V100 GPU",
-        "count": 20
+        "value": "32GB RAM",
+        "count": 53
       },
       {
-        "value": "8 NVIDIA A100 80GB GPUs",
-        "count": 20
+        "value": "1 NVIDIA A100 GPU",
+        "count": 53
       },
       {
-        "value": "1 NVIDIA Tesla V100 GPU",
-        "count": 19
+        "value": "64GB RAM",
+        "count": 48
       },
       {
-        "value": "1 NVIDIA A40 GPU",
-        "count": 19
+        "value": "Windows 10",
+        "count": 40
       },
       {
-        "value": "NVIDIA A100 80GB",
-        "count": 19
+        "value": "Google Colab",
+        "count": 40
       },
       {
-        "value": "2 NVIDIA A100 80GB GPUs",
-        "count": 18
+        "value": "8 NVIDIA A100 GPUs",
+        "count": 38
       },
       {
-        "value": "1 A100 GPU",
-        "count": 17
+        "value": "4 GB RAM",
+        "count": 37
       },
       {
-        "value": "1 GPU",
-        "count": 16
+        "value": "8GB RAM",
+        "count": 29
       },
       {
-        "value": "8 NVIDIA H100 GPUs",
-        "count": 16
+        "value": "128GB RAM",
+        "count": 29
       },
       {
-        "value": "FPGA",
-        "count": 15
+        "value": "NVIDIA A100 GPU",
+        "count": 29
       },
       {
-        "value": "Raspberry Pi",
-        "count": 15
+        "value": "4 NVIDIA A100 GPUs",
+        "count": 27
       },
       {
-        "value": "8 GPUs",
-        "count": 15
+        "value": "16 GB memory",
+        "count": 26
       }
     ],
     "software": [
       {
         "value": "Python",
-        "count": 225
+        "count": 1462
       },
       {
         "value": "PyTorch",
-        "count": 221
+        "count": 1050
       },
       {
         "value": "scikit-learn",
-        "count": 174
+        "count": 831
       },
       {
         "value": "Adam optimizer",
-        "count": 161
+        "count": 647
       },
       {
-        "value": "Keras",
-        "count": 151
+        "value": "TensorFlow",
+        "count": 642
       },
       {
-        "value": "TensorFlow",
-        "count": 151
+        "value": "Keras",
+        "count": 525
       },
       {
-        "value": "LoRA",
-        "count": 83
+        "value": "AdamW",
+        "count": 420
       },
       {
-        "value": "SHAP",
-        "count": 81
+        "value": "LoRA",
+        "count": 370
       },
       {
-        "value": "GRPO",
-        "count": 81
+        "value": "NLTK",
+        "count": 268
       },
       {
-        "value": "LIME",
-        "count": 74
+        "value": "OpenAI API",
+        "count": 238
       },
       {
-        "value": "Natural Language Processing",
-        "count": 63
+        "value": "vLLM",
+        "count": 214
       },
       {
-        "value": "Machine Learning",
-        "count": 63
+        "value": "NumPy",
+        "count": 195
       },
       {
-        "value": "Hugging Face Transformers",
-        "count": 55
+        "value": "MATLAB",
+        "count": 183
       },
       {
-        "value": "AdamW",
-        "count": 54
+        "value": "R",
+        "count": 173
       },
       {
-        "value": "Federated Learning",
-        "count": 53
+        "value": "Scikit-learn",
+        "count": 143
       },
       {
-        "value": "Deep Learning",
-        "count": 45
+        "value": "Pandas",
+        "count": 140
       },
       {
-        "value": "Reinforcement Learning",
-        "count": 44
+        "value": "spaCy",
+        "count": 128
       },
       {
-        "value": "TF-IDF",
-        "count": 37
+        "value": "Adam",
+        "count": 127
       },
       {
-        "value": "NLTK",
-        "count": 36
+        "value": "Hugging Face Transformers",
+        "count": 127
       },
       {
-        "value": "NLP",
-        "count": 36
+        "value": "SHAP",
+        "count": 123
       }
     ]
   },
   "coverage": {
-    "repro_steps_present": 12109,
-    "training_or_eval_recipe_present": 13347,
-    "code_urls_present": 4540,
-    "dataset_urls_present": 3405,
-    "model_urls_present": 933,
-    "target_models_present": 12220,
-    "datasets_benchmarks_present": 12596,
-    "baselines_present": 6745,
-    "evaluation_metrics_present": 12475,
-    "main_results_present": 16764,
+    "repro_steps_present": 12588,
+    "training_or_eval_recipe_present": 14029,
+    "code_urls_present": 6201,
+    "dataset_urls_present": 5043,
+    "model_urls_present": 1073,
+    "target_models_present": 13491,
+    "datasets_benchmarks_present": 14235,
+    "baselines_present": 12189,
+    "evaluation_metrics_present": 13715,
+    "main_results_present": 16787,
     "claimed_contributions_present": 16805,
-    "compute_requirements_present": 4567
+    "compute_requirements_present": 8650
   },
   "averages": {
-    "repro_steps_per_paper": 3.967690110674759,
-    "training_or_eval_recipe_items_per_paper": 3.4436510769963107
+    "repro_steps_per_paper": 5.359930977032012,
+    "training_or_eval_recipe_items_per_paper": 5.6645840771153155
   }
 }