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asjc-classification
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scibert_multilabel_asjc_classifier

Text Classification
Safetensors
bert
scientometrics
asjc
multi-label
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  1. README.md +79 -54
  2. config.json +616 -614
  3. custom_pipeline.py +32 -0
  4. label_mappings.json +620 -0
  5. labels.json +309 -0
README.md CHANGED
@@ -12,6 +12,12 @@ pipeline_tag: text-classification
12
  tags:
13
  - scientometrics
14
  - asjc
 
 
 
 
 
 
15
  ---
16
  # 🧠 Open Multi-Label ASJC Classification
17
 
@@ -78,77 +84,96 @@ For **26 parent subjects**, F1-score improves to **0.934** with full metadata.
78
  ## 🔍 Example Usage
79
 
80
  ```python
81
- # Load packages
82
- from transformers import AutoModelForSequenceClassification, AutoTokenizer
83
- import pandas as pd
84
- import json # for json files
85
- import torch # for tensor computation and deep learning
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
86
 
87
- # Load model and tokenizer
88
- device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
89
- model = AutoModelForSequenceClassification.from_pretrained("asjc-classification/scibert_multilabel_asjc_classifier")
90
- model.to(device)
91
- model.eval()
92
- tokenizer = AutoTokenizer.from_pretrained("asjc-classification/scibert_multilabel_asjc_classifier", do_lower_case=True)
93
 
94
- # Load the JSON file
95
- with open("small_example.json", "r") as file:
96
- data = json.load(file)
97
 
98
- # Access the "all" array
99
- all_articles = data["all"]
 
 
 
100
 
101
- # Load the categories from the CSV file
102
- path = 'Categories.csv'
103
 
104
- # Read the CSV file into a pandas DataFrame
105
- df_categories = pd.read_csv(path, delimiter=';')
106
 
107
- # Extract the 'SUBJECT TERM' column as a list of class names
108
- classes = df_categories['SUBJECT TERM'].tolist()
 
 
 
109
 
110
- # Create mappings from class names to integer IDs and vice versa
111
- class2id = {class_: id for id, class_ in enumerate(classes)}
112
- id2class = {id: class_ for class_, id in class2id.items()}
113
 
114
- # Iterate over each example in the "all" array
115
- for example_data in all_articles:
116
- # Extract the text and labels
117
- example_article = example_data["string"]
118
- true_labels_example = json.loads(example_data["subject"]) # Load the labels as a list
119
 
120
- # Tokenize the article metadata
121
- inputs = tokenizer(example_article, return_tensors='pt', truncation=True, padding=True, max_length=512)
122
 
123
- # Move inputs to the correct device (CPU or GPU)
124
- inputs = {key: value.to(device) for key, value in inputs.items()}
125
 
126
- # Make predictions with the model
127
- with torch.no_grad(): # No gradient computation
128
- outs = model(**inputs)
129
- logits = outs[0] # Raw predictions (logits)
130
- pred_probs = torch.sigmoid(logits) # Convert to probabilities using Sigmoid
131
 
132
- # Convert probabilities to NumPy array
133
- pred_probs = pred_probs.cpu().numpy().flatten()
 
 
 
 
 
134
 
135
- # Create a DataFrame with probabilities and label names
136
- df_probs = pd.DataFrame([pred_probs], columns=classes)
 
 
 
137
 
138
- # Sort by highest probabilities and output the top 5 labels
139
- top_5_predictions = df_probs.iloc[0].sort_values(ascending=False).head(5)
 
 
 
140
 
141
- print(f"\n Text: {example_article}")
 
142
 
143
- print(f"\n🔹 **Top 5 predicted labels for the example:**")
144
- for label, prob in top_5_predictions.items():
145
- print(f" - {label}: {prob:.4f}")
146
 
147
- # Display the actual labels of the example (True Labels)
148
- print("\n✅ **Actual labels for the example:**")
149
- for label in true_labels_example:
150
- print(f" - {label}")
151
- ```
152
 
153
  ---
154
 
 
12
  tags:
13
  - scientometrics
14
  - asjc
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+ - multi-label
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+ task_categories:
17
+ - text-classification
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+ widget:
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+ - text: "title={Jodometrie}, container_title={Fresenius' Zeitschrift für analytische Chemie, Zeitschrift für analytische Chemie}, abstract={}"
20
+
21
  ---
22
  # 🧠 Open Multi-Label ASJC Classification
23
 
 
84
  ## 🔍 Example Usage
85
 
86
  ```python
87
+ # # Load packages
88
+ # from transformers import AutoModelForSequenceClassification, AutoTokenizer
89
+ # import pandas as pd
90
+ # import json # for json files
91
+ # import torch # for tensor computation and deep learning
92
+
93
+ # # Load model and tokenizer
94
+ # device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
95
+ # model = AutoModelForSequenceClassification.from_pretrained("asjc-classification/scibert_multilabel_asjc_classifier")
96
+ # model.to(device)
97
+ # model.eval()
98
+ # tokenizer = AutoTokenizer.from_pretrained("asjc-classification/scibert_multilabel_asjc_classifier", do_lower_case=True)
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+
100
+ # # Load the JSON file
101
+ # with open("small_example.json", "r") as file:
102
+ # data = json.load(file)
103
+
104
+ # # Access the "all" array
105
+ # all_articles = data["all"]
106
+
107
+ # # Load the categories from the CSV file
108
+ # path = 'Categories.csv'
109
+
110
+ # # Read the CSV file into a pandas DataFrame
111
+ # df_categories = pd.read_csv(path, delimiter=';')
112
 
113
+ # # Extract the 'SUBJECT TERM' column as a list of class names
114
+ # classes = df_categories['SUBJECT TERM'].tolist()
 
 
 
 
115
 
116
+ # # Create mappings from class names to integer IDs and vice versa
117
+ # class2id = {class_: id for id, class_ in enumerate(classes)}
118
+ # id2class = {id: class_ for class_, id in class2id.items()}
119
 
120
+ # # Iterate over each example in the "all" array
121
+ # for example_data in all_articles:
122
+ # # Extract the text and labels
123
+ # example_article = example_data["string"]
124
+ # true_labels_example = json.loads(example_data["subject"]) # Load the labels as a list
125
 
126
+ # # Tokenize the article metadata
127
+ # inputs = tokenizer(example_article, return_tensors='pt', truncation=True, padding=True, max_length=512)
128
 
129
+ # # Move inputs to the correct device (CPU or GPU)
130
+ # inputs = {key: value.to(device) for key, value in inputs.items()}
131
 
132
+ # # Make predictions with the model
133
+ # with torch.no_grad(): # No gradient computation
134
+ # outs = model(**inputs)
135
+ # logits = outs[0] # Raw predictions (logits)
136
+ # pred_probs = torch.sigmoid(logits) # Convert to probabilities using Sigmoid
137
 
138
+ # # Convert probabilities to NumPy array
139
+ # pred_probs = pred_probs.cpu().numpy().flatten()
 
140
 
141
+ # # Create a DataFrame with probabilities and label names
142
+ # df_probs = pd.DataFrame([pred_probs], columns=classes)
 
 
 
143
 
144
+ # # Sort by highest probabilities and output the top 5 labels
145
+ # top_5_predictions = df_probs.iloc[0].sort_values(ascending=False).head(5)
146
 
147
+ # print(f"\n Text: {example_article}")
 
148
 
149
+ # print(f"\n�� **Top 5 predicted labels for the example:**")
150
+ # for label, prob in top_5_predictions.items():
151
+ # print(f" - {label}: {prob:.4f}")
 
 
152
 
153
+ # # Display the actual labels of the example (True Labels)
154
+ # print("\n✅ **Actual labels for the example:**")
155
+ # for label in true_labels_example:
156
+ # print(f" - {label}")
157
+ # ```
158
+ from transformers import pipeline
159
+ from custom_pipeline import ASJCMultiLabelPipeline
160
 
161
+ pipe = pipeline(
162
+ task="text-classification",
163
+ model="asjc-classification/scibert_multilabel_asjc_classifier",
164
+ pipeline_class=ASJCMultiLabelPipeline
165
+ )
166
 
167
+ text = (
168
+ "title={Jodometrie}, "
169
+ "container_title={Fresenius' Zeitschrift für analytische Chemie, Zeitschrift für analytische Chemie}, "
170
+ "abstract={}"
171
+ )
172
 
173
+ result = pipe(text)
174
+ print(result)
175
 
 
 
 
176
 
 
 
 
 
 
177
 
178
  ---
179
 
config.json CHANGED
@@ -9,625 +9,627 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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- "0": "LABEL_0",
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  },
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  "initializer_range": 0.02,
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280
+ "268": "Linguistics and Language",
281
+ "269": "Safety Research",
282
+ "270": "Sociology and Political Science",
283
+ "271": "Transportation",
284
+ "272": "Anthropology",
285
+ "273": "Communication",
286
+ "274": "Cultural Studies",
287
+ "275": "Demography",
288
+ "276": "Gender Studies",
289
+ "277": "Life-span and Life-course Studies",
290
+ "278": "Political Science and International Relations",
291
+ "279": "Public Administration",
292
+ "280": "Urban Studies",
293
+ "281": "Veterinary (miscellaneous)",
294
+ "282": "Equine",
295
+ "283": "Food Animals",
296
+ "284": "Small Animals",
297
+ "285": "Dentistry (miscellaneous)",
298
+ "286": "Dental Assisting",
299
+ "287": "Dental Hygiene",
300
+ "288": "Oral Surgery",
301
+ "289": "Orthodontics",
302
+ "290": "Periodontics",
303
+ "291": "Health Professions (miscellaneous)",
304
+ "292": "Chiropractics",
305
+ "293": "Complementary and Manual Therapy",
306
+ "294": "Emergency Medical Services",
307
+ "295": "Health Information Management",
308
+ "296": "Medical Assisting and Transcription",
309
+ "297": "Medical Laboratory Technology",
310
+ "298": "Medical Terminology",
311
+ "299": "Occupational Therapy",
312
+ "300": "Optometry",
313
+ "301": "Pharmacy",
314
+ "302": "Physical Therapy, Sports Therapy and Rehabilitation",
315
+ "303": "Podiatry",
316
+ "304": "Radiological and Ultrasound Technology",
317
+ "305": "Respiratory Care",
318
+ "306": "Speech and Hearing"
319
  },
320
  "initializer_range": 0.02,
321
  "intermediate_size": 3072,
322
  "label2id": {
323
+ "Agricultural and Biological Sciences (miscellaneous)": 0,
324
+ "Agronomy and Crop Science": 1,
325
+ "Animal Science and Zoology": 2,
326
+ "Aquatic Science": 3,
327
+ "Ecology, Evolution, Behavior and Systematics": 4,
328
+ "Food Science": 5,
329
+ "Forestry": 6,
330
+ "Horticulture": 7,
331
+ "Insect Science": 8,
332
+ "Plant Science": 9,
333
+ "Soil Science": 10,
334
+ "Arts and Humanities (miscellaneous)": 11,
335
+ "History": 12,
336
+ "Language and Linguistics": 13,
337
+ "Archeology (arts and humanities)": 14,
338
+ "Classics": 15,
339
+ "Conservation": 16,
340
+ "History and Philosophy of Science": 17,
341
+ "Literature and Literary Theory": 18,
342
+ "Museology": 19,
343
+ "Music": 20,
344
+ "Philosophy": 21,
345
+ "Religious Studies": 22,
346
+ "Visual Arts and Performing Arts": 23,
347
+ "Biochemistry, Genetics and Molecular Biology (miscellaneous)": 24,
348
+ "Aging": 25,
349
+ "Biochemistry": 26,
350
+ "Biophysics": 27,
351
+ "Biotechnology": 28,
352
+ "Cancer Research": 29,
353
+ "Cell Biology": 30,
354
+ "Clinical Biochemistry": 31,
355
+ "Developmental Biology": 32,
356
+ "Endocrinology": 33,
357
+ "Genetics": 34,
358
+ "Molecular Biology": 35,
359
+ "Molecular Medicine": 36,
360
+ "Physiology": 37,
361
+ "Structural Biology": 38,
362
+ "Business, Management and Accounting (miscellaneous)": 39,
363
+ "Accounting": 40,
364
+ "Business and International Management": 41,
365
+ "Management Information Systems": 42,
366
+ "Management of Technology and Innovation": 43,
367
+ "Marketing": 44,
368
+ "Organizational Behavior and Human Resource Management": 45,
369
+ "Strategy and Management": 46,
370
+ "Tourism, Leisure and Hospitality Management": 47,
371
+ "Industrial Relations": 48,
372
+ "Chemical Engineering (miscellaneous)": 49,
373
+ "Bioengineering": 50,
374
+ "Catalysis": 51,
375
+ "Chemical Health and Safety": 52,
376
+ "Colloid and Surface Chemistry": 53,
377
+ "Filtration and Separation": 54,
378
+ "Fluid Flow and Transfer Processes": 55,
379
+ "Process Chemistry and Technology": 56,
380
+ "Chemistry (miscellaneous)": 57,
381
+ "Analytical Chemistry": 58,
382
+ "Electrochemistry": 59,
383
+ "Inorganic Chemistry": 60,
384
+ "Organic Chemistry": 61,
385
+ "Physical and Theoretical Chemistry": 62,
386
+ "Spectroscopy": 63,
387
+ "Computer Science (miscellaneous)": 64,
388
+ "Artificial Intelligence": 65,
389
+ "Computational Theory and Mathematics": 66,
390
+ "Computer Graphics and Computer-Aided Design": 67,
391
+ "Computer Networks and Communications": 68,
392
+ "Computer Science Applications": 69,
393
+ "Computer Vision and Pattern Recognition": 70,
394
+ "Hardware and Architecture": 71,
395
+ "Human-Computer Interaction": 72,
396
+ "Information Systems": 73,
397
+ "Signal Processing": 74,
398
+ "Software": 75,
399
+ "Decision Sciences (miscellaneous)": 76,
400
+ "Information Systems and Management": 77,
401
+ "Management Science and Operations Research": 78,
402
+ "Statistics, Probability and Uncertainty": 79,
403
+ "Earth and Planetary Sciences (miscellaneous)": 80,
404
+ "Atmospheric Science": 81,
405
+ "Computers in Earth Sciences": 82,
406
+ "Earth-Surface Processes": 83,
407
+ "Economic Geology": 84,
408
+ "Geochemistry and Petrology": 85,
409
+ "Geology": 86,
410
+ "Geophysics": 87,
411
+ "Geotechnical Engineering and Engineering Geology": 88,
412
+ "Oceanography": 89,
413
+ "Paleontology": 90,
414
+ "Space and Planetary Science": 91,
415
+ "Stratigraphy": 92,
416
+ "Economics, Econometrics and Finance (miscellaneous)": 93,
417
+ "Economics and Econometrics": 94,
418
+ "Finance": 95,
419
+ "Energy (miscellaneous)": 96,
420
+ "Energy Engineering and Power Technology": 97,
421
+ "Fuel Technology": 98,
422
+ "Nuclear Energy and Engineering": 99,
423
+ "Renewable Energy, Sustainability and the Environment": 100,
424
+ "Engineering (miscellaneous)": 101,
425
+ "Aerospace Engineering": 102,
426
+ "Automotive Engineering": 103,
427
+ "Biomedical Engineering": 104,
428
+ "Civil and Structural Engineering": 105,
429
+ "Computational Mechanics": 106,
430
+ "Control and Systems Engineering": 107,
431
+ "Electrical and Electronic Engineering": 108,
432
+ "Industrial and Manufacturing Engineering": 109,
433
+ "Mechanical Engineering": 110,
434
+ "Mechanics of Materials": 111,
435
+ "Ocean Engineering": 112,
436
+ "Safety, Risk, Reliability and Quality": 113,
437
+ "Media Technology": 114,
438
+ "Building and Construction": 115,
439
+ "Architecture": 116,
440
+ "Environmental Science (miscellaneous)": 117,
441
+ "Ecological Modeling": 118,
442
+ "Ecology": 119,
443
+ "Environmental Chemistry": 120,
444
+ "Environmental Engineering": 121,
445
+ "Global and Planetary Change": 122,
446
+ "Health, Toxicology and Mutagenesis": 123,
447
+ "Management, Monitoring, Policy and Law": 124,
448
+ "Nature and Landscape Conservation": 125,
449
+ "Pollution": 126,
450
+ "Waste Management and Disposal": 127,
451
+ "Water Science and Technology": 128,
452
+ "Immunology and Microbiology (miscellaneous)": 129,
453
+ "Applied Microbiology and Biotechnology": 130,
454
+ "Immunology": 131,
455
+ "Microbiology": 132,
456
+ "Parasitology": 133,
457
+ "Virology": 134,
458
+ "Materials Science (miscellaneous)": 135,
459
+ "Biomaterials": 136,
460
+ "Ceramics and Composites": 137,
461
+ "Electronic, Optical and Magnetic Materials": 138,
462
+ "Materials Chemistry": 139,
463
+ "Metals and Alloys": 140,
464
+ "Polymers and Plastics": 141,
465
+ "Surfaces, Coatings and Films": 142,
466
+ "Mathematics (miscellaneous)": 143,
467
+ "Algebra and Number Theory": 144,
468
+ "Analysis": 145,
469
+ "Applied Mathematics": 146,
470
+ "Computational Mathematics": 147,
471
+ "Control and Optimization": 148,
472
+ "Discrete Mathematics and Combinatorics": 149,
473
+ "Geometry and Topology": 150,
474
+ "Logic": 151,
475
+ "Mathematical Physics": 152,
476
+ "Modeling and Simulation": 153,
477
+ "Numerical Analysis": 154,
478
+ "Statistics and Probability": 155,
479
+ "Theoretical Computer Science": 156,
480
+ "Medicine (miscellaneous)": 157,
481
+ "Anatomy": 158,
482
+ "Anesthesiology and Pain Medicine": 159,
483
+ "Biochemistry (medical)": 160,
484
+ "Cardiology and Cardiovascular Medicine": 161,
485
+ "Critical Care and Intensive Care Medicine": 162,
486
+ "Complementary and Alternative Medicine": 163,
487
+ "Dermatology": 164,
488
+ "Drug Guides": 165,
489
+ "Embryology": 166,
490
+ "Emergency Medicine": 167,
491
+ "Endocrinology, Diabetes and Metabolism": 168,
492
+ "Epidemiology": 169,
493
+ "Family Practice": 170,
494
+ "Gastroenterology": 171,
495
+ "Genetics (clinical)": 172,
496
+ "Geriatrics and Gerontology": 173,
497
+ "Health Informatics": 174,
498
+ "Health Policy": 175,
499
+ "Hematology": 176,
500
+ "Hepatology": 177,
501
+ "Histology": 178,
502
+ "Immunology and Allergy": 179,
503
+ "Internal Medicine": 180,
504
+ "Infectious Diseases": 181,
505
+ "Microbiology (medical)": 182,
506
+ "Nephrology": 183,
507
+ "Neurology (clinical)": 184,
508
+ "Obstetrics and Gynecology": 185,
509
+ "Oncology": 186,
510
+ "Ophthalmology": 187,
511
+ "Orthopedics and Sports Medicine": 188,
512
+ "Otorhinolaryngology": 189,
513
+ "Pathology and Forensic Medicine": 190,
514
+ "Pediatrics, Perinatology and Child Health": 191,
515
+ "Pharmacology (medical)": 192,
516
+ "Physiology (medical)": 193,
517
+ "Psychiatry and Mental Health": 194,
518
+ "Public Health, Environmental and Occupational Health": 195,
519
+ "Pulmonary and Respiratory Medicine": 196,
520
+ "Radiology, Nuclear Medicine and Imaging": 197,
521
+ "Rehabilitation": 198,
522
+ "Reproductive Medicine": 199,
523
+ "Reviews and References (medical)": 200,
524
+ "Rheumatology": 201,
525
+ "Surgery": 202,
526
+ "Transplantation": 203,
527
+ "Urology": 204,
528
+ "Neuroscience (miscellaneous)": 205,
529
+ "Behavioral Neuroscience": 206,
530
+ "Biological Psychiatry": 207,
531
+ "Cellular and Molecular Neuroscience": 208,
532
+ "Cognitive Neuroscience": 209,
533
+ "Developmental Neuroscience": 210,
534
+ "Endocrine and Autonomic Systems": 211,
535
+ "Neurology": 212,
536
+ "Sensory Systems": 213,
537
+ "Nursing (miscellaneous)": 214,
538
+ "Advanced and Specialized Nursing": 215,
539
+ "Assessment and Diagnosis": 216,
540
+ "Care Planning": 217,
541
+ "Community and Home Care": 218,
542
+ "Critical Care Nursing": 219,
543
+ "Emergency Nursing": 220,
544
+ "Fundamentals and Skills": 221,
545
+ "Gerontology": 222,
546
+ "Issues, Ethics and Legal Aspects": 223,
547
+ "Leadership and Management": 224,
548
+ "LPN and LVN": 225,
549
+ "Maternity and Midwifery": 226,
550
+ "Medical and Surgical Nursing": 227,
551
+ "Nurse Assisting": 228,
552
+ "Nutrition and Dietetics": 229,
553
+ "Oncology (nursing)": 230,
554
+ "Pathophysiology": 231,
555
+ "Pediatrics": 232,
556
+ "Pharmacology (nursing)": 233,
557
+ "Psychiatric Mental Health": 234,
558
+ "Research and Theory": 235,
559
+ "Review and Exam Preparation": 236,
560
+ "Pharmacology, Toxicology and Pharmaceutics (miscellaneous)": 237,
561
+ "Drug Discovery": 238,
562
+ "Pharmaceutical Science": 239,
563
+ "Pharmacology": 240,
564
+ "Toxicology": 241,
565
+ "Physics and Astronomy (miscellaneous)": 242,
566
+ "Acoustics and Ultrasonics": 243,
567
+ "Astronomy and Astrophysics": 244,
568
+ "Condensed Matter Physics": 245,
569
+ "Instrumentation": 246,
570
+ "Nuclear and High Energy Physics": 247,
571
+ "Atomic and Molecular Physics, and Optics": 248,
572
+ "Radiation": 249,
573
+ "Statistical and Nonlinear Physics": 250,
574
+ "Surfaces and Interfaces": 251,
575
+ "Psychology (miscellaneous)": 252,
576
+ "Applied Psychology": 253,
577
+ "Clinical Psychology": 254,
578
+ "Developmental and Educational Psychology": 255,
579
+ "Experimental and Cognitive Psychology": 256,
580
+ "Neuropsychology and Physiological Psychology": 257,
581
+ "Social Psychology": 258,
582
+ "Social Sciences (miscellaneous)": 259,
583
+ "Archeology": 260,
584
+ "Development": 261,
585
+ "Education": 262,
586
+ "Geography, Planning and Development": 263,
587
+ "Health (social science)": 264,
588
+ "Human Factors and Ergonomics": 265,
589
+ "Law": 266,
590
+ "Library and Information Sciences": 267,
591
+ "Linguistics and Language": 268,
592
+ "Safety Research": 269,
593
+ "Sociology and Political Science": 270,
594
+ "Transportation": 271,
595
+ "Anthropology": 272,
596
+ "Communication": 273,
597
+ "Cultural Studies": 274,
598
+ "Demography": 275,
599
+ "Gender Studies": 276,
600
+ "Life-span and Life-course Studies": 277,
601
+ "Political Science and International Relations": 278,
602
+ "Public Administration": 279,
603
+ "Urban Studies": 280,
604
+ "Veterinary (miscellaneous)": 281,
605
+ "Equine": 282,
606
+ "Food Animals": 283,
607
+ "Small Animals": 284,
608
+ "Dentistry (miscellaneous)": 285,
609
+ "Dental Assisting": 286,
610
+ "Dental Hygiene": 287,
611
+ "Oral Surgery": 288,
612
+ "Orthodontics": 289,
613
+ "Periodontics": 290,
614
+ "Health Professions (miscellaneous)": 291,
615
+ "Chiropractics": 292,
616
+ "Complementary and Manual Therapy": 293,
617
+ "Emergency Medical Services": 294,
618
+ "Health Information Management": 295,
619
+ "Medical Assisting and Transcription": 296,
620
+ "Medical Laboratory Technology": 297,
621
+ "Medical Terminology": 298,
622
+ "Occupational Therapy": 299,
623
+ "Optometry": 300,
624
+ "Pharmacy": 301,
625
+ "Physical Therapy, Sports Therapy and Rehabilitation": 302,
626
+ "Podiatry": 303,
627
+ "Radiological and Ultrasound Technology": 304,
628
+ "Respiratory Care": 305,
629
+ "Speech and Hearing": 306
630
  },
631
+ "problem_type": "multi_label_classification",
632
+ "threshold": 0.3,
633
  "layer_norm_eps": 1e-12,
634
  "max_position_embeddings": 512,
635
  "model_type": "bert",
custom_pipeline.py ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ '''
2
+ # @ Author: ASJC Team
3
+ # @ Create Time: 2025-11-25 23:52:55
4
+ # @ Modified by: ASJC Team
5
+ # @ Modified time: 2025-11-25 23:53:08
6
+ # @ Description: Custom pipeline for multi-label classification with fine-tuned SciBERT model.
7
+ '''
8
+
9
+ from transformers import TextClassificationPipeline
10
+ import torch
11
+
12
+ class ASJCMultiLabelPipeline(TextClassificationPipeline):
13
+ def __init__(self, *args, **kwargs):
14
+ self.threshold = kwargs.pop("threshold", None)
15
+ super().__init__(*args, **kwargs)
16
+
17
+ # If no explicit threshold passed → use threshold from config.json
18
+ if self.threshold is None:
19
+ self.threshold = getattr(self.model.config, "threshold", 0.3)
20
+
21
+ def postprocess(self, model_outputs, **kwargs):
22
+ scores = torch.sigmoid(torch.tensor(model_outputs["logits"])).tolist()
23
+ results = []
24
+
25
+ for i, score in enumerate(scores):
26
+ if score >= self.threshold:
27
+ label = self.model.config.id2label[str(i)]
28
+ results.append({"label": label, "score": float(score)})
29
+
30
+ # Sort by score descending
31
+ results = sorted(results, key=lambda x: x["score"], reverse=True)
32
+ return results
label_mappings.json ADDED
@@ -0,0 +1,620 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "label2id": {
3
+ "Agricultural and Biological Sciences (miscellaneous)": 0,
4
+ "Agronomy and Crop Science": 1,
5
+ "Animal Science and Zoology": 2,
6
+ "Aquatic Science": 3,
7
+ "Ecology, Evolution, Behavior and Systematics": 4,
8
+ "Food Science": 5,
9
+ "Forestry": 6,
10
+ "Horticulture": 7,
11
+ "Insect Science": 8,
12
+ "Plant Science": 9,
13
+ "Soil Science": 10,
14
+ "Arts and Humanities (miscellaneous)": 11,
15
+ "History": 12,
16
+ "Language and Linguistics": 13,
17
+ "Archeology (arts and humanities)": 14,
18
+ "Classics": 15,
19
+ "Conservation": 16,
20
+ "History and Philosophy of Science": 17,
21
+ "Literature and Literary Theory": 18,
22
+ "Museology": 19,
23
+ "Music": 20,
24
+ "Philosophy": 21,
25
+ "Religious Studies": 22,
26
+ "Visual Arts and Performing Arts": 23,
27
+ "Biochemistry, Genetics and Molecular Biology (miscellaneous)": 24,
28
+ "Aging": 25,
29
+ "Biochemistry": 26,
30
+ "Biophysics": 27,
31
+ "Biotechnology": 28,
32
+ "Cancer Research": 29,
33
+ "Cell Biology": 30,
34
+ "Clinical Biochemistry": 31,
35
+ "Developmental Biology": 32,
36
+ "Endocrinology": 33,
37
+ "Genetics": 34,
38
+ "Molecular Biology": 35,
39
+ "Molecular Medicine": 36,
40
+ "Physiology": 37,
41
+ "Structural Biology": 38,
42
+ "Business, Management and Accounting (miscellaneous)": 39,
43
+ "Accounting": 40,
44
+ "Business and International Management": 41,
45
+ "Management Information Systems": 42,
46
+ "Management of Technology and Innovation": 43,
47
+ "Marketing": 44,
48
+ "Organizational Behavior and Human Resource Management": 45,
49
+ "Strategy and Management": 46,
50
+ "Tourism, Leisure and Hospitality Management": 47,
51
+ "Industrial Relations": 48,
52
+ "Chemical Engineering (miscellaneous)": 49,
53
+ "Bioengineering": 50,
54
+ "Catalysis": 51,
55
+ "Chemical Health and Safety": 52,
56
+ "Colloid and Surface Chemistry": 53,
57
+ "Filtration and Separation": 54,
58
+ "Fluid Flow and Transfer Processes": 55,
59
+ "Process Chemistry and Technology": 56,
60
+ "Chemistry (miscellaneous)": 57,
61
+ "Analytical Chemistry": 58,
62
+ "Electrochemistry": 59,
63
+ "Inorganic Chemistry": 60,
64
+ "Organic Chemistry": 61,
65
+ "Physical and Theoretical Chemistry": 62,
66
+ "Spectroscopy": 63,
67
+ "Computer Science (miscellaneous)": 64,
68
+ "Artificial Intelligence": 65,
69
+ "Computational Theory and Mathematics": 66,
70
+ "Computer Graphics and Computer-Aided Design": 67,
71
+ "Computer Networks and Communications": 68,
72
+ "Computer Science Applications": 69,
73
+ "Computer Vision and Pattern Recognition": 70,
74
+ "Hardware and Architecture": 71,
75
+ "Human-Computer Interaction": 72,
76
+ "Information Systems": 73,
77
+ "Signal Processing": 74,
78
+ "Software": 75,
79
+ "Decision Sciences (miscellaneous)": 76,
80
+ "Information Systems and Management": 77,
81
+ "Management Science and Operations Research": 78,
82
+ "Statistics, Probability and Uncertainty": 79,
83
+ "Earth and Planetary Sciences (miscellaneous)": 80,
84
+ "Atmospheric Science": 81,
85
+ "Computers in Earth Sciences": 82,
86
+ "Earth-Surface Processes": 83,
87
+ "Economic Geology": 84,
88
+ "Geochemistry and Petrology": 85,
89
+ "Geology": 86,
90
+ "Geophysics": 87,
91
+ "Geotechnical Engineering and Engineering Geology": 88,
92
+ "Oceanography": 89,
93
+ "Paleontology": 90,
94
+ "Space and Planetary Science": 91,
95
+ "Stratigraphy": 92,
96
+ "Economics, Econometrics and Finance (miscellaneous)": 93,
97
+ "Economics and Econometrics": 94,
98
+ "Finance": 95,
99
+ "Energy (miscellaneous)": 96,
100
+ "Energy Engineering and Power Technology": 97,
101
+ "Fuel Technology": 98,
102
+ "Nuclear Energy and Engineering": 99,
103
+ "Renewable Energy, Sustainability and the Environment": 100,
104
+ "Engineering (miscellaneous)": 101,
105
+ "Aerospace Engineering": 102,
106
+ "Automotive Engineering": 103,
107
+ "Biomedical Engineering": 104,
108
+ "Civil and Structural Engineering": 105,
109
+ "Computational Mechanics": 106,
110
+ "Control and Systems Engineering": 107,
111
+ "Electrical and Electronic Engineering": 108,
112
+ "Industrial and Manufacturing Engineering": 109,
113
+ "Mechanical Engineering": 110,
114
+ "Mechanics of Materials": 111,
115
+ "Ocean Engineering": 112,
116
+ "Safety, Risk, Reliability and Quality": 113,
117
+ "Media Technology": 114,
118
+ "Building and Construction": 115,
119
+ "Architecture": 116,
120
+ "Environmental Science (miscellaneous)": 117,
121
+ "Ecological Modeling": 118,
122
+ "Ecology": 119,
123
+ "Environmental Chemistry": 120,
124
+ "Environmental Engineering": 121,
125
+ "Global and Planetary Change": 122,
126
+ "Health, Toxicology and Mutagenesis": 123,
127
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39
+ "Physiology",
40
+ "Structural Biology",
41
+ "Business, Management and Accounting (miscellaneous)",
42
+ "Accounting",
43
+ "Business and International Management",
44
+ "Management Information Systems",
45
+ "Management of Technology and Innovation",
46
+ "Marketing",
47
+ "Organizational Behavior and Human Resource Management",
48
+ "Strategy and Management",
49
+ "Tourism, Leisure and Hospitality Management",
50
+ "Industrial Relations",
51
+ "Chemical Engineering (miscellaneous)",
52
+ "Bioengineering",
53
+ "Catalysis",
54
+ "Chemical Health and Safety",
55
+ "Colloid and Surface Chemistry",
56
+ "Filtration and Separation",
57
+ "Fluid Flow and Transfer Processes",
58
+ "Process Chemistry and Technology",
59
+ "Chemistry (miscellaneous)",
60
+ "Analytical Chemistry",
61
+ "Electrochemistry",
62
+ "Inorganic Chemistry",
63
+ "Organic Chemistry",
64
+ "Physical and Theoretical Chemistry",
65
+ "Spectroscopy",
66
+ "Computer Science (miscellaneous)",
67
+ "Artificial Intelligence",
68
+ "Computational Theory and Mathematics",
69
+ "Computer Graphics and Computer-Aided Design",
70
+ "Computer Networks and Communications",
71
+ "Computer Science Applications",
72
+ "Computer Vision and Pattern Recognition",
73
+ "Hardware and Architecture",
74
+ "Human-Computer Interaction",
75
+ "Information Systems",
76
+ "Signal Processing",
77
+ "Software",
78
+ "Decision Sciences (miscellaneous)",
79
+ "Information Systems and Management",
80
+ "Management Science and Operations Research",
81
+ "Statistics, Probability and Uncertainty",
82
+ "Earth and Planetary Sciences (miscellaneous)",
83
+ "Atmospheric Science",
84
+ "Computers in Earth Sciences",
85
+ "Earth-Surface Processes",
86
+ "Economic Geology",
87
+ "Geochemistry and Petrology",
88
+ "Geology",
89
+ "Geophysics",
90
+ "Geotechnical Engineering and Engineering Geology",
91
+ "Oceanography",
92
+ "Paleontology",
93
+ "Space and Planetary Science",
94
+ "Stratigraphy",
95
+ "Economics, Econometrics and Finance (miscellaneous)",
96
+ "Economics and Econometrics",
97
+ "Finance",
98
+ "Energy (miscellaneous)",
99
+ "Energy Engineering and Power Technology",
100
+ "Fuel Technology",
101
+ "Nuclear Energy and Engineering",
102
+ "Renewable Energy, Sustainability and the Environment",
103
+ "Engineering (miscellaneous)",
104
+ "Aerospace Engineering",
105
+ "Automotive Engineering",
106
+ "Biomedical Engineering",
107
+ "Civil and Structural Engineering",
108
+ "Computational Mechanics",
109
+ "Control and Systems Engineering",
110
+ "Electrical and Electronic Engineering",
111
+ "Industrial and Manufacturing Engineering",
112
+ "Mechanical Engineering",
113
+ "Mechanics of Materials",
114
+ "Ocean Engineering",
115
+ "Safety, Risk, Reliability and Quality",
116
+ "Media Technology",
117
+ "Building and Construction",
118
+ "Architecture",
119
+ "Environmental Science (miscellaneous)",
120
+ "Ecological Modeling",
121
+ "Ecology",
122
+ "Environmental Chemistry",
123
+ "Environmental Engineering",
124
+ "Global and Planetary Change",
125
+ "Health, Toxicology and Mutagenesis",
126
+ "Management, Monitoring, Policy and Law",
127
+ "Nature and Landscape Conservation",
128
+ "Pollution",
129
+ "Waste Management and Disposal",
130
+ "Water Science and Technology",
131
+ "Immunology and Microbiology (miscellaneous)",
132
+ "Applied Microbiology and Biotechnology",
133
+ "Immunology",
134
+ "Microbiology",
135
+ "Parasitology",
136
+ "Virology",
137
+ "Materials Science (miscellaneous)",
138
+ "Biomaterials",
139
+ "Ceramics and Composites",
140
+ "Electronic, Optical and Magnetic Materials",
141
+ "Materials Chemistry",
142
+ "Metals and Alloys",
143
+ "Polymers and Plastics",
144
+ "Surfaces, Coatings and Films",
145
+ "Mathematics (miscellaneous)",
146
+ "Algebra and Number Theory",
147
+ "Analysis",
148
+ "Applied Mathematics",
149
+ "Computational Mathematics",
150
+ "Control and Optimization",
151
+ "Discrete Mathematics and Combinatorics",
152
+ "Geometry and Topology",
153
+ "Logic",
154
+ "Mathematical Physics",
155
+ "Modeling and Simulation",
156
+ "Numerical Analysis",
157
+ "Statistics and Probability",
158
+ "Theoretical Computer Science",
159
+ "Medicine (miscellaneous)",
160
+ "Anatomy",
161
+ "Anesthesiology and Pain Medicine",
162
+ "Biochemistry (medical)",
163
+ "Cardiology and Cardiovascular Medicine",
164
+ "Critical Care and Intensive Care Medicine",
165
+ "Complementary and Alternative Medicine",
166
+ "Dermatology",
167
+ "Drug Guides",
168
+ "Embryology",
169
+ "Emergency Medicine",
170
+ "Endocrinology, Diabetes and Metabolism",
171
+ "Epidemiology",
172
+ "Family Practice",
173
+ "Gastroenterology",
174
+ "Genetics (clinical)",
175
+ "Geriatrics and Gerontology",
176
+ "Health Informatics",
177
+ "Health Policy",
178
+ "Hematology",
179
+ "Hepatology",
180
+ "Histology",
181
+ "Immunology and Allergy",
182
+ "Internal Medicine",
183
+ "Infectious Diseases",
184
+ "Microbiology (medical)",
185
+ "Nephrology",
186
+ "Neurology (clinical)",
187
+ "Obstetrics and Gynecology",
188
+ "Oncology",
189
+ "Ophthalmology",
190
+ "Orthopedics and Sports Medicine",
191
+ "Otorhinolaryngology",
192
+ "Pathology and Forensic Medicine",
193
+ "Pediatrics, Perinatology and Child Health",
194
+ "Pharmacology (medical)",
195
+ "Physiology (medical)",
196
+ "Psychiatry and Mental Health",
197
+ "Public Health, Environmental and Occupational Health",
198
+ "Pulmonary and Respiratory Medicine",
199
+ "Radiology, Nuclear Medicine and Imaging",
200
+ "Rehabilitation",
201
+ "Reproductive Medicine",
202
+ "Reviews and References (medical)",
203
+ "Rheumatology",
204
+ "Surgery",
205
+ "Transplantation",
206
+ "Urology",
207
+ "Neuroscience (miscellaneous)",
208
+ "Behavioral Neuroscience",
209
+ "Biological Psychiatry",
210
+ "Cellular and Molecular Neuroscience",
211
+ "Cognitive Neuroscience",
212
+ "Developmental Neuroscience",
213
+ "Endocrine and Autonomic Systems",
214
+ "Neurology",
215
+ "Sensory Systems",
216
+ "Nursing (miscellaneous)",
217
+ "Advanced and Specialized Nursing",
218
+ "Assessment and Diagnosis",
219
+ "Care Planning",
220
+ "Community and Home Care",
221
+ "Critical Care Nursing",
222
+ "Emergency Nursing",
223
+ "Fundamentals and Skills",
224
+ "Gerontology",
225
+ "Issues, Ethics and Legal Aspects",
226
+ "Leadership and Management",
227
+ "LPN and LVN",
228
+ "Maternity and Midwifery",
229
+ "Medical and Surgical Nursing",
230
+ "Nurse Assisting",
231
+ "Nutrition and Dietetics",
232
+ "Oncology (nursing)",
233
+ "Pathophysiology",
234
+ "Pediatrics",
235
+ "Pharmacology (nursing)",
236
+ "Psychiatric Mental Health",
237
+ "Research and Theory",
238
+ "Review and Exam Preparation",
239
+ "Pharmacology, Toxicology and Pharmaceutics (miscellaneous)",
240
+ "Drug Discovery",
241
+ "Pharmaceutical Science",
242
+ "Pharmacology",
243
+ "Toxicology",
244
+ "Physics and Astronomy (miscellaneous)",
245
+ "Acoustics and Ultrasonics",
246
+ "Astronomy and Astrophysics",
247
+ "Condensed Matter Physics",
248
+ "Instrumentation",
249
+ "Nuclear and High Energy Physics",
250
+ "Atomic and Molecular Physics, and Optics",
251
+ "Radiation",
252
+ "Statistical and Nonlinear Physics",
253
+ "Surfaces and Interfaces",
254
+ "Psychology (miscellaneous)",
255
+ "Applied Psychology",
256
+ "Clinical Psychology",
257
+ "Developmental and Educational Psychology",
258
+ "Experimental and Cognitive Psychology",
259
+ "Neuropsychology and Physiological Psychology",
260
+ "Social Psychology",
261
+ "Social Sciences (miscellaneous)",
262
+ "Archeology",
263
+ "Development",
264
+ "Education",
265
+ "Geography, Planning and Development",
266
+ "Health (social science)",
267
+ "Human Factors and Ergonomics",
268
+ "Law",
269
+ "Library and Information Sciences",
270
+ "Linguistics and Language",
271
+ "Safety Research",
272
+ "Sociology and Political Science",
273
+ "Transportation",
274
+ "Anthropology",
275
+ "Communication",
276
+ "Cultural Studies",
277
+ "Demography",
278
+ "Gender Studies",
279
+ "Life-span and Life-course Studies",
280
+ "Political Science and International Relations",
281
+ "Public Administration",
282
+ "Urban Studies",
283
+ "Veterinary (miscellaneous)",
284
+ "Equine",
285
+ "Food Animals",
286
+ "Small Animals",
287
+ "Dentistry (miscellaneous)",
288
+ "Dental Assisting",
289
+ "Dental Hygiene",
290
+ "Oral Surgery",
291
+ "Orthodontics",
292
+ "Periodontics",
293
+ "Health Professions (miscellaneous)",
294
+ "Chiropractics",
295
+ "Complementary and Manual Therapy",
296
+ "Emergency Medical Services",
297
+ "Health Information Management",
298
+ "Medical Assisting and Transcription",
299
+ "Medical Laboratory Technology",
300
+ "Medical Terminology",
301
+ "Occupational Therapy",
302
+ "Optometry",
303
+ "Pharmacy",
304
+ "Physical Therapy, Sports Therapy and Rehabilitation",
305
+ "Podiatry",
306
+ "Radiological and Ultrasound Technology",
307
+ "Respiratory Care",
308
+ "Speech and Hearing"
309
+ ]