Hugging Face's logo

Datasets:
TEDBench
/
cath

Tasks:
Graph Machine Learning
Modalities:
Text
Time-series
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
protein
structure
fold-classification
tedbench
cath
experimental
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
dexiongc commited on
Commit
f2d764a
·
verified ·
1 Parent(s): f895cee

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +94 -996
README.md CHANGED
@@ -1,998 +1,96 @@
1
  ---
2
- dataset_info:
3
- features:
4
- - name: name
5
- dtype: string
6
- - name: sequence
7
- dtype: string
8
- - name: coords
9
- list:
10
- list:
11
- list: float32
12
- - name: plddt
13
- list: float32
14
- - name: residue_index
15
- list: int64
16
- - name: seq_ids
17
- list: int64
18
- - name: label
19
- dtype:
20
- class_label:
21
- names:
22
- '0': 1.10.10
23
- '1': 1.10.1000
24
- '2': 1.10.101
25
- '3': 1.10.1020
26
- '4': 1.10.1040
27
- '5': 1.10.1060
28
- '6': 1.10.1070
29
- '7': 1.10.1090
30
- '8': 1.10.110
31
- '9': 1.10.1130
32
- '10': 1.10.1140
33
- '11': 1.10.1160
34
- '12': 1.10.1170
35
- '13': 1.10.12
36
- '14': 1.10.1200
37
- '15': 1.10.1220
38
- '16': 1.10.1240
39
- '17': 1.10.1270
40
- '18': 1.10.1280
41
- '19': 1.10.1300
42
- '20': 1.10.132
43
- '21': 1.10.1330
44
- '22': 1.10.1370
45
- '23': 1.10.1380
46
- '24': 1.10.1390
47
- '25': 1.10.1400
48
- '26': 1.10.1410
49
- '27': 1.10.1420
50
- '28': 1.10.1450
51
- '29': 1.10.1470
52
- '30': 1.10.1490
53
- '31': 1.10.15
54
- '32': 1.10.150
55
- '33': 1.10.1510
56
- '34': 1.10.1520
57
- '35': 1.10.1530
58
- '36': 1.10.1540
59
- '37': 1.10.1580
60
- '38': 1.10.1620
61
- '39': 1.10.1630
62
- '40': 1.10.1660
63
- '41': 1.10.167
64
- '42': 1.10.1670
65
- '43': 1.10.1710
66
- '44': 1.10.1720
67
- '45': 1.10.1740
68
- '46': 1.10.1750
69
- '47': 1.10.1760
70
- '48': 1.10.1780
71
- '49': 1.10.1790
72
- '50': 1.10.1900
73
- '51': 1.10.196
74
- '52': 1.10.20
75
- '53': 1.10.2000
76
- '54': 1.10.2020
77
- '55': 1.10.2080
78
- '56': 1.10.210
79
- '57': 1.10.220
80
- '58': 1.10.225
81
- '59': 1.10.230
82
- '60': 1.10.238
83
- '61': 1.10.240
84
- '62': 1.10.245
85
- '63': 1.10.246
86
- '64': 1.10.260
87
- '65': 1.10.268
88
- '66': 1.10.274
89
- '67': 1.10.275
90
- '68': 1.10.286
91
- '69': 1.10.287
92
- '70': 1.10.290
93
- '71': 1.10.30
94
- '72': 1.10.300
95
- '73': 1.10.3060
96
- '74': 1.10.3080
97
- '75': 1.10.3090
98
- '76': 1.10.3100
99
- '77': 1.10.3120
100
- '78': 1.10.3130
101
- '79': 1.10.3160
102
- '80': 1.10.3190
103
- '81': 1.10.3210
104
- '82': 1.10.3230
105
- '83': 1.10.3260
106
- '84': 1.10.3290
107
- '85': 1.10.3300
108
- '86': 1.10.3330
109
- '87': 1.10.3350
110
- '88': 1.10.3380
111
- '89': 1.10.3390
112
- '90': 1.10.340
113
- '91': 1.10.3410
114
- '92': 1.10.3420
115
- '93': 1.10.3430
116
- '94': 1.10.3450
117
- '95': 1.10.3460
118
- '96': 1.10.3470
119
- '97': 1.10.3480
120
- '98': 1.10.3510
121
- '99': 1.10.3520
122
- '100': 1.10.3540
123
- '101': 1.10.3560
124
- '102': 1.10.357
125
- '103': 1.10.3580
126
- '104': 1.10.3630
127
- '105': 1.10.3660
128
- '106': 1.10.3680
129
- '107': 1.10.3710
130
- '108': 1.10.3720
131
- '109': 1.10.3730
132
- '110': 1.10.375
133
- '111': 1.10.3760
134
- '112': 1.10.3790
135
- '113': 1.10.3810
136
- '114': 1.10.3820
137
- '115': 1.10.3860
138
- '116': 1.10.3880
139
- '117': 1.10.390
140
- '118': 1.10.3910
141
- '119': 1.10.3920
142
- '120': 1.10.3980
143
- '121': 1.10.3990
144
- '122': 1.10.40
145
- '123': 1.10.400
146
- '124': 1.10.4000
147
- '125': 1.10.4010
148
- '126': 1.10.4020
149
- '127': 1.10.4030
150
- '128': 1.10.405
151
- '129': 1.10.4080
152
- '130': 1.10.4100
153
- '131': 1.10.4140
154
- '132': 1.10.4160
155
- '133': 1.10.418
156
- '134': 1.10.4190
157
- '135': 1.10.420
158
- '136': 1.10.4200
159
- '137': 1.10.437
160
- '138': 1.10.439
161
- '139': 1.10.442
162
- '140': 1.10.443
163
- '141': 1.10.45
164
- '142': 1.10.455
165
- '143': 1.10.460
166
- '144': 1.10.468
167
- '145': 1.10.472
168
- '146': 1.10.486
169
- '147': 1.10.489
170
- '148': 1.10.490
171
- '149': 1.10.506
172
- '150': 1.10.510
173
- '151': 1.10.520
174
- '152': 1.10.530
175
- '153': 1.10.533
176
- '154': 1.10.540
177
- '155': 1.10.555
178
- '156': 1.10.560
179
- '157': 1.10.565
180
- '158': 1.10.569
181
- '159': 1.10.575
182
- '160': 1.10.579
183
- '161': 1.10.580
184
- '162': 1.10.590
185
- '163': 1.10.599
186
- '164': 1.10.60
187
- '165': 1.10.600
188
- '166': 1.10.606
189
- '167': 1.10.620
190
- '168': 1.10.630
191
- '169': 1.10.640
192
- '170': 1.10.645
193
- '171': 1.10.700
194
- '172': 1.10.720
195
- '173': 1.10.730
196
- '174': 1.10.740
197
- '175': 1.10.750
198
- '176': 1.10.760
199
- '177': 1.10.790
200
- '178': 1.10.8
201
- '179': 1.10.800
202
- '180': 1.10.840
203
- '181': 1.10.860
204
- '182': 1.10.880
205
- '183': 1.10.890
206
- '184': 1.10.940
207
- '185': 1.10.x
208
- '186': 1.20.1020
209
- '187': 1.20.1050
210
- '188': 1.20.1060
211
- '189': 1.20.1070
212
- '190': 1.20.1080
213
- '191': 1.20.1090
214
- '192': 1.20.1110
215
- '193': 1.20.1150
216
- '194': 1.20.1160
217
- '195': 1.20.1170
218
- '196': 1.20.1180
219
- '197': 1.20.120
220
- '198': 1.20.1200
221
- '199': 1.20.1220
222
- '200': 1.20.1250
223
- '201': 1.20.1260
224
- '202': 1.20.1270
225
- '203': 1.20.1280
226
- '204': 1.20.1290
227
- '205': 1.20.1300
228
- '206': 1.20.1310
229
- '207': 1.20.1320
230
- '208': 1.20.1330
231
- '209': 1.20.1340
232
- '210': 1.20.1370
233
- '211': 1.20.1380
234
- '212': 1.20.1390
235
- '213': 1.20.140
236
- '214': 1.20.141
237
- '215': 1.20.1410
238
- '216': 1.20.1420
239
- '217': 1.20.1430
240
- '218': 1.20.144
241
- '219': 1.20.1440
242
- '220': 1.20.1460
243
- '221': 1.20.1480
244
- '222': 1.20.150
245
- '223': 1.20.1500
246
- '224': 1.20.1510
247
- '225': 1.20.1520
248
- '226': 1.20.1530
249
- '227': 1.20.1540
250
- '228': 1.20.1550
251
- '229': 1.20.1560
252
- '230': 1.20.1580
253
- '231': 1.20.1590
254
- '232': 1.20.1600
255
- '233': 1.20.1610
256
- '234': 1.20.1630
257
- '235': 1.20.1640
258
- '236': 1.20.1690
259
- '237': 1.20.1730
260
- '238': 1.20.1740
261
- '239': 1.20.190
262
- '240': 1.20.20
263
- '241': 1.20.200
264
- '242': 1.20.210
265
- '243': 1.20.225
266
- '244': 1.20.245
267
- '245': 1.20.272
268
- '246': 1.20.5
269
- '247': 1.20.50
270
- '248': 1.20.58
271
- '249': 1.20.59
272
- '250': 1.20.80
273
- '251': 1.20.81
274
- '252': 1.20.810
275
- '253': 1.20.85
276
- '254': 1.20.860
277
- '255': 1.20.870
278
- '256': 1.20.890
279
- '257': 1.20.90
280
- '258': 1.20.900
281
- '259': 1.20.91
282
- '260': 1.20.910
283
- '261': 1.20.920
284
- '262': 1.20.930
285
- '263': 1.20.950
286
- '264': 1.20.960
287
- '265': 1.20.970
288
- '266': 1.20.990
289
- '267': 1.20.x
290
- '268': 1.25.10
291
- '269': 1.25.40
292
- '270': 1.25.50
293
- '271': 1.25.60
294
- '272': 1.25.x
295
- '273': 1.40.x
296
- '274': 1.50.10
297
- '275': 1.50.40
298
- '276': 2.10.10
299
- '277': 2.10.109
300
- '278': 2.10.110
301
- '279': 2.10.150
302
- '280': 2.10.220
303
- '281': 2.10.240
304
- '282': 2.10.25
305
- '283': 2.10.260
306
- '284': 2.10.270
307
- '285': 2.10.50
308
- '286': 2.10.60
309
- '287': 2.10.70
310
- '288': 2.10.80
311
- '289': 2.10.90
312
- '290': 2.10.x
313
- '291': 2.100.10
314
- '292': 2.102.10
315
- '293': 2.102.x
316
- '294': 2.110.10
317
- '295': 2.115.10
318
- '296': 2.120.10
319
- '297': 2.130.10
320
- '298': 2.140.10
321
- '299': 2.150.10
322
- '300': 2.160.20
323
- '301': 2.160.x
324
- '302': 2.170.120
325
- '303': 2.170.130
326
- '304': 2.170.14
327
- '305': 2.170.140
328
- '306': 2.170.15
329
- '307': 2.170.150
330
- '308': 2.170.16
331
- '309': 2.170.190
332
- '310': 2.170.210
333
- '311': 2.170.240
334
- '312': 2.170.260
335
- '313': 2.170.270
336
- '314': 2.170.300
337
- '315': 2.170.x
338
- '316': 2.180.10
339
- '317': 2.20.100
340
- '318': 2.20.110
341
- '319': 2.20.130
342
- '320': 2.20.140
343
- '321': 2.20.20
344
- '322': 2.20.200
345
- '323': 2.20.210
346
- '324': 2.20.220
347
- '325': 2.20.230
348
- '326': 2.20.25
349
- '327': 2.20.28
350
- '328': 2.20.50
351
- '329': 2.20.70
352
- '330': 2.20.x
353
- '331': 2.30.110
354
- '332': 2.30.130
355
- '333': 2.30.140
356
- '334': 2.30.170
357
- '335': 2.30.18
358
- '336': 2.30.180
359
- '337': 2.30.22
360
- '338': 2.30.230
361
- '339': 2.30.240
362
- '340': 2.30.250
363
- '341': 2.30.260
364
- '342': 2.30.270
365
- '343': 2.30.280
366
- '344': 2.30.29
367
- '345': 2.30.290
368
- '346': 2.30.30
369
- '347': 2.30.300
370
- '348': 2.30.31
371
- '349': 2.30.310
372
- '350': 2.30.320
373
- '351': 2.30.33
374
- '352': 2.30.330
375
- '353': 2.30.34
376
- '354': 2.30.38
377
- '355': 2.30.39
378
- '356': 2.30.40
379
- '357': 2.30.42
380
- '358': 2.30.60
381
- '359': 2.30.x
382
- '360': 2.40.10
383
- '361': 2.40.100
384
- '362': 2.40.110
385
- '363': 2.40.128
386
- '364': 2.40.150
387
- '365': 2.40.155
388
- '366': 2.40.160
389
- '367': 2.40.170
390
- '368': 2.40.180
391
- '369': 2.40.20
392
- '370': 2.40.230
393
- '371': 2.40.240
394
- '372': 2.40.260
395
- '373': 2.40.270
396
- '374': 2.40.280
397
- '375': 2.40.290
398
- '376': 2.40.30
399
- '377': 2.40.300
400
- '378': 2.40.320
401
- '379': 2.40.33
402
- '380': 2.40.330
403
- '381': 2.40.340
404
- '382': 2.40.350
405
- '383': 2.40.360
406
- '384': 2.40.37
407
- '385': 2.40.370
408
- '386': 2.40.380
409
- '387': 2.40.390
410
- '388': 2.40.40
411
- '389': 2.40.400
412
- '390': 2.40.420
413
- '391': 2.40.440
414
- '392': 2.40.480
415
- '393': 2.40.490
416
- '394': 2.40.50
417
- '395': 2.40.70
418
- '396': 2.40.x
419
- '397': 2.50.20
420
- '398': 2.60.11
421
- '399': 2.60.110
422
- '400': 2.60.120
423
- '401': 2.60.130
424
- '402': 2.60.15
425
- '403': 2.60.20
426
- '404': 2.60.200
427
- '405': 2.60.210
428
- '406': 2.60.220
429
- '407': 2.60.260
430
- '408': 2.60.270
431
- '409': 2.60.290
432
- '410': 2.60.300
433
- '411': 2.60.310
434
- '412': 2.60.320
435
- '413': 2.60.34
436
- '414': 2.60.370
437
- '415': 2.60.40
438
- '416': 2.60.410
439
- '417': 2.60.420
440
- '418': 2.60.450
441
- '419': 2.60.460
442
- '420': 2.60.470
443
- '421': 2.60.490
444
- '422': 2.60.520
445
- '423': 2.60.530
446
- '424': 2.60.60
447
- '425': 2.60.90
448
- '426': 2.60.98
449
- '427': 2.60.x
450
- '428': 2.70.100
451
- '429': 2.70.130
452
- '430': 2.70.150
453
- '431': 2.70.160
454
- '432': 2.70.170
455
- '433': 2.70.180
456
- '434': 2.70.220
457
- '435': 2.70.40
458
- '436': 2.70.50
459
- '437': 2.70.70
460
- '438': 2.70.9
461
- '439': 2.70.98
462
- '440': 2.70.x
463
- '441': 2.80.10
464
- '442': 2.80.20
465
- '443': 2.90.10
466
- '444': 3.10.10
467
- '445': 3.10.100
468
- '446': 3.10.105
469
- '447': 3.10.110
470
- '448': 3.10.120
471
- '449': 3.10.129
472
- '450': 3.10.130
473
- '451': 3.10.150
474
- '452': 3.10.170
475
- '453': 3.10.180
476
- '454': 3.10.196
477
- '455': 3.10.20
478
- '456': 3.10.200
479
- '457': 3.10.25
480
- '458': 3.10.250
481
- '459': 3.10.260
482
- '460': 3.10.270
483
- '461': 3.10.28
484
- '462': 3.10.290
485
- '463': 3.10.300
486
- '464': 3.10.310
487
- '465': 3.10.320
488
- '466': 3.10.330
489
- '467': 3.10.350
490
- '468': 3.10.360
491
- '469': 3.10.380
492
- '470': 3.10.390
493
- '471': 3.10.400
494
- '472': 3.10.420
495
- '473': 3.10.430
496
- '474': 3.10.440
497
- '475': 3.10.450
498
- '476': 3.10.490
499
- '477': 3.10.50
500
- '478': 3.10.510
501
- '479': 3.10.520
502
- '480': 3.10.530
503
- '481': 3.10.550
504
- '482': 3.10.560
505
- '483': 3.10.580
506
- '484': 3.10.590
507
- '485': 3.10.600
508
- '486': 3.10.620
509
- '487': 3.10.640
510
- '488': 3.10.660
511
- '489': 3.10.690
512
- '490': 3.10.x
513
- '491': 3.100.10
514
- '492': 3.15.10
515
- '493': 3.15.x
516
- '494': 3.20.10
517
- '495': 3.20.100
518
- '496': 3.20.110
519
- '497': 3.20.130
520
- '498': 3.20.14
521
- '499': 3.20.140
522
- '500': 3.20.16
523
- '501': 3.20.170
524
- '502': 3.20.180
525
- '503': 3.20.19
526
- '504': 3.20.190
527
- '505': 3.20.20
528
- '506': 3.20.200
529
- '507': 3.20.70
530
- '508': 3.20.80
531
- '509': 3.20.x
532
- '510': 3.30.10
533
- '511': 3.30.1010
534
- '512': 3.30.1020
535
- '513': 3.30.1030
536
- '514': 3.30.1040
537
- '515': 3.30.1050
538
- '516': 3.30.1060
539
- '517': 3.30.1070
540
- '518': 3.30.110
541
- '519': 3.30.1120
542
- '520': 3.30.1130
543
- '521': 3.30.1140
544
- '522': 3.30.1150
545
- '523': 3.30.1160
546
- '524': 3.30.1180
547
- '525': 3.30.1200
548
- '526': 3.30.1220
549
- '527': 3.30.1230
550
- '528': 3.30.1240
551
- '529': 3.30.1280
552
- '530': 3.30.1300
553
- '531': 3.30.1310
554
- '532': 3.30.1320
555
- '533': 3.30.1330
556
- '534': 3.30.1340
557
- '535': 3.30.1360
558
- '536': 3.30.1370
559
- '537': 3.30.1380
560
- '538': 3.30.1390
561
- '539': 3.30.1400
562
- '540': 3.30.1410
563
- '541': 3.30.1430
564
- '542': 3.30.1440
565
- '543': 3.30.1450
566
- '544': 3.30.1460
567
- '545': 3.30.1480
568
- '546': 3.30.1490
569
- '547': 3.30.1520
570
- '548': 3.30.1540
571
- '549': 3.30.1550
572
- '550': 3.30.1560
573
- '551': 3.30.1580
574
- '552': 3.30.160
575
- '553': 3.30.1600
576
- '554': 3.30.1610
577
- '555': 3.30.1640
578
- '556': 3.30.1660
579
- '557': 3.30.1680
580
- '558': 3.30.1690
581
- '559': 3.30.170
582
- '560': 3.30.1700
583
- '561': 3.30.1740
584
- '562': 3.30.1760
585
- '563': 3.30.1770
586
- '564': 3.30.1780
587
- '565': 3.30.1810
588
- '566': 3.30.1830
589
- '567': 3.30.1840
590
- '568': 3.30.1860
591
- '569': 3.30.1880
592
- '570': 3.30.1890
593
- '571': 3.30.190
594
- '572': 3.30.1900
595
- '573': 3.30.1910
596
- '574': 3.30.1920
597
- '575': 3.30.1950
598
- '576': 3.30.1960
599
- '577': 3.30.200
600
- '578': 3.30.2000
601
- '579': 3.30.2010
602
- '580': 3.30.2020
603
- '581': 3.30.2030
604
- '582': 3.30.2060
605
- '583': 3.30.2080
606
- '584': 3.30.2090
607
- '585': 3.30.210
608
- '586': 3.30.2110
609
- '587': 3.30.2120
610
- '588': 3.30.2130
611
- '589': 3.30.2140
612
- '590': 3.30.2160
613
- '591': 3.30.2170
614
- '592': 3.30.2190
615
- '593': 3.30.2220
616
- '594': 3.30.2230
617
- '595': 3.30.2250
618
- '596': 3.30.2260
619
- '597': 3.30.2270
620
- '598': 3.30.2280
621
- '599': 3.30.2290
622
- '600': 3.30.230
623
- '601': 3.30.2300
624
- '602': 3.30.2310
625
- '603': 3.30.2320
626
- '604': 3.30.2330
627
- '605': 3.30.2340
628
- '606': 3.30.2350
629
- '607': 3.30.2380
630
- '608': 3.30.2390
631
- '609': 3.30.240
632
- '610': 3.30.2410
633
- '611': 3.30.2420
634
- '612': 3.30.2430
635
- '613': 3.30.2450
636
- '614': 3.30.2460
637
- '615': 3.30.250
638
- '616': 3.30.280
639
- '617': 3.30.30
640
- '618': 3.30.300
641
- '619': 3.30.310
642
- '620': 3.30.350
643
- '621': 3.30.360
644
- '622': 3.30.365
645
- '623': 3.30.370
646
- '624': 3.30.379
647
- '625': 3.30.390
648
- '626': 3.30.40
649
- '627': 3.30.410
650
- '628': 3.30.413
651
- '629': 3.30.420
652
- '630': 3.30.428
653
- '631': 3.30.429
654
- '632': 3.30.43
655
- '633': 3.30.430
656
- '634': 3.30.450
657
- '635': 3.30.457
658
- '636': 3.30.460
659
- '637': 3.30.465
660
- '638': 3.30.470
661
- '639': 3.30.479
662
- '640': 3.30.497
663
- '641': 3.30.499
664
- '642': 3.30.50
665
- '643': 3.30.500
666
- '644': 3.30.505
667
- '645': 3.30.530
668
- '646': 3.30.54
669
- '647': 3.30.540
670
- '648': 3.30.559
671
- '649': 3.30.56
672
- '650': 3.30.560
673
- '651': 3.30.565
674
- '652': 3.30.572
675
- '653': 3.30.590
676
- '654': 3.30.60
677
- '655': 3.30.63
678
- '656': 3.30.67
679
- '657': 3.30.70
680
- '658': 3.30.700
681
- '659': 3.30.710
682
- '660': 3.30.720
683
- '661': 3.30.730
684
- '662': 3.30.740
685
- '663': 3.30.750
686
- '664': 3.30.760
687
- '665': 3.30.780
688
- '666': 3.30.800
689
- '667': 3.30.830
690
- '668': 3.30.860
691
- '669': 3.30.870
692
- '670': 3.30.9
693
- '671': 3.30.900
694
- '672': 3.30.910
695
- '673': 3.30.920
696
- '674': 3.30.930
697
- '675': 3.30.950
698
- '676': 3.30.960
699
- '677': 3.30.980
700
- '678': 3.30.990
701
- '679': 3.30.x
702
- '680': 3.40.10
703
- '681': 3.40.1000
704
- '682': 3.40.1010
705
- '683': 3.40.1030
706
- '684': 3.40.1050
707
- '685': 3.40.1060
708
- '686': 3.40.1080
709
- '687': 3.40.109
710
- '688': 3.40.1090
711
- '689': 3.40.1110
712
- '690': 3.40.1120
713
- '691': 3.40.1130
714
- '692': 3.40.1160
715
- '693': 3.40.1170
716
- '694': 3.40.1180
717
- '695': 3.40.1190
718
- '696': 3.40.120
719
- '697': 3.40.1210
720
- '698': 3.40.1230
721
- '699': 3.40.1260
722
- '700': 3.40.1280
723
- '701': 3.40.1310
724
- '702': 3.40.1340
725
- '703': 3.40.1350
726
- '704': 3.40.1360
727
- '705': 3.40.1370
728
- '706': 3.40.1380
729
- '707': 3.40.1390
730
- '708': 3.40.140
731
- '709': 3.40.1400
732
- '710': 3.40.1410
733
- '711': 3.40.1420
734
- '712': 3.40.1440
735
- '713': 3.40.1450
736
- '714': 3.40.1460
737
- '715': 3.40.1470
738
- '716': 3.40.1480
739
- '717': 3.40.1490
740
- '718': 3.40.1500
741
- '719': 3.40.1520
742
- '720': 3.40.1530
743
- '721': 3.40.1550
744
- '722': 3.40.1560
745
- '723': 3.40.1570
746
- '724': 3.40.1580
747
- '725': 3.40.1590
748
- '726': 3.40.1610
749
- '727': 3.40.1620
750
- '728': 3.40.1650
751
- '729': 3.40.1660
752
- '730': 3.40.1670
753
- '731': 3.40.1690
754
- '732': 3.40.1700
755
- '733': 3.40.1710
756
- '734': 3.40.1720
757
- '735': 3.40.1730
758
- '736': 3.40.1740
759
- '737': 3.40.1760
760
- '738': 3.40.1770
761
- '739': 3.40.1780
762
- '740': 3.40.1790
763
- '741': 3.40.1800
764
- '742': 3.40.1810
765
- '743': 3.40.1830
766
- '744': 3.40.1840
767
- '745': 3.40.190
768
- '746': 3.40.20
769
- '747': 3.40.210
770
- '748': 3.40.220
771
- '749': 3.40.225
772
- '750': 3.40.228
773
- '751': 3.40.250
774
- '752': 3.40.30
775
- '753': 3.40.309
776
- '754': 3.40.33
777
- '755': 3.40.35
778
- '756': 3.40.350
779
- '757': 3.40.366
780
- '758': 3.40.367
781
- '759': 3.40.390
782
- '760': 3.40.395
783
- '761': 3.40.420
784
- '762': 3.40.430
785
- '763': 3.40.440
786
- '764': 3.40.449
787
- '765': 3.40.462
788
- '766': 3.40.47
789
- '767': 3.40.470
790
- '768': 3.40.5
791
- '769': 3.40.50
792
- '770': 3.40.525
793
- '771': 3.40.532
794
- '772': 3.40.570
795
- '773': 3.40.600
796
- '774': 3.40.605
797
- '775': 3.40.630
798
- '776': 3.40.640
799
- '777': 3.40.710
800
- '778': 3.40.718
801
- '779': 3.40.720
802
- '780': 3.40.80
803
- '781': 3.40.800
804
- '782': 3.40.830
805
- '783': 3.40.850
806
- '784': 3.40.91
807
- '785': 3.40.910
808
- '786': 3.40.920
809
- '787': 3.40.930
810
- '788': 3.40.950
811
- '789': 3.40.960
812
- '790': 3.40.970
813
- '791': 3.40.980
814
- '792': 3.40.x
815
- '793': 3.50.14
816
- '794': 3.50.20
817
- '795': 3.50.30
818
- '796': 3.50.4
819
- '797': 3.50.40
820
- '798': 3.50.50
821
- '799': 3.50.7
822
- '800': 3.50.70
823
- '801': 3.50.80
824
- '802': 3.50.90
825
- '803': 3.55.10
826
- '804': 3.55.30
827
- '805': 3.55.40
828
- '806': 3.55.50
829
- '807': 3.60.10
830
- '808': 3.60.110
831
- '809': 3.60.120
832
- '810': 3.60.130
833
- '811': 3.60.140
834
- '812': 3.60.15
835
- '813': 3.60.150
836
- '814': 3.60.20
837
- '815': 3.60.21
838
- '816': 3.60.40
839
- '817': 3.60.60
840
- '818': 3.60.70
841
- '819': 3.60.9
842
- '820': 3.60.90
843
- '821': 3.60.x
844
- '822': 3.65.10
845
- '823': 3.70.10
846
- '824': 3.75.10
847
- '825': 3.80.10
848
- '826': 3.80.20
849
- '827': 3.80.30
850
- '828': 3.90.10
851
- '829': 3.90.100
852
- '830': 3.90.1010
853
- '831': 3.90.1030
854
- '832': 3.90.105
855
- '833': 3.90.1070
856
- '834': 3.90.110
857
- '835': 3.90.1110
858
- '836': 3.90.1140
859
- '837': 3.90.1150
860
- '838': 3.90.1160
861
- '839': 3.90.1170
862
- '840': 3.90.1180
863
- '841': 3.90.120
864
- '842': 3.90.1200
865
- '843': 3.90.1210
866
- '844': 3.90.1260
867
- '845': 3.90.1280
868
- '846': 3.90.1300
869
- '847': 3.90.1310
870
- '848': 3.90.132
871
- '849': 3.90.1340
872
- '850': 3.90.1410
873
- '851': 3.90.1420
874
- '852': 3.90.1480
875
- '853': 3.90.1490
876
- '854': 3.90.15
877
- '855': 3.90.1510
878
- '856': 3.90.1520
879
- '857': 3.90.1530
880
- '858': 3.90.1560
881
- '859': 3.90.1570
882
- '860': 3.90.1580
883
- '861': 3.90.1590
884
- '862': 3.90.1600
885
- '863': 3.90.1640
886
- '864': 3.90.1670
887
- '865': 3.90.1680
888
- '866': 3.90.1690
889
- '867': 3.90.170
890
- '868': 3.90.1700
891
- '869': 3.90.1720
892
- '870': 3.90.1740
893
- '871': 3.90.175
894
- '872': 3.90.1750
895
- '873': 3.90.176
896
- '874': 3.90.180
897
- '875': 3.90.1800
898
- '876': 3.90.182
899
- '877': 3.90.1860
900
- '878': 3.90.190
901
- '879': 3.90.199
902
- '880': 3.90.20
903
- '881': 3.90.210
904
- '882': 3.90.215
905
- '883': 3.90.220
906
- '884': 3.90.226
907
- '885': 3.90.228
908
- '886': 3.90.230
909
- '887': 3.90.245
910
- '888': 3.90.25
911
- '889': 3.90.260
912
- '890': 3.90.280
913
- '891': 3.90.320
914
- '892': 3.90.330
915
- '893': 3.90.350
916
- '894': 3.90.380
917
- '895': 3.90.400
918
- '896': 3.90.420
919
- '897': 3.90.45
920
- '898': 3.90.460
921
- '899': 3.90.470
922
- '900': 3.90.480
923
- '901': 3.90.50
924
- '902': 3.90.520
925
- '903': 3.90.540
926
- '904': 3.90.550
927
- '905': 3.90.56
928
- '906': 3.90.580
929
- '907': 3.90.600
930
- '908': 3.90.640
931
- '909': 3.90.650
932
- '910': 3.90.660
933
- '911': 3.90.70
934
- '912': 3.90.700
935
- '913': 3.90.730
936
- '914': 3.90.740
937
- '915': 3.90.75
938
- '916': 3.90.76
939
- '917': 3.90.770
940
- '918': 3.90.78
941
- '919': 3.90.780
942
- '920': 3.90.79
943
- '921': 3.90.80
944
- '922': 3.90.800
945
- '923': 3.90.820
946
- '924': 3.90.830
947
- '925': 3.90.850
948
- '926': 3.90.870
949
- '927': 3.90.920
950
- '928': 3.90.930
951
- '929': 3.90.940
952
- '930': 3.90.950
953
- '931': 3.90.960
954
- '932': 3.90.980
955
- '933': 3.90.x
956
- '934': 4.10.110
957
- '935': 4.10.1240
958
- '936': 4.10.170
959
- '937': 4.10.220
960
- '938': 4.10.240
961
- '939': 4.10.260
962
- '940': 4.10.270
963
- '941': 4.10.280
964
- '942': 4.10.290
965
- '943': 4.10.320
966
- '944': 4.10.340
967
- '945': 4.10.40
968
- '946': 4.10.400
969
- '947': 4.10.410
970
- '948': 4.10.480
971
- '949': 4.10.490
972
- '950': 4.10.520
973
- '951': 4.10.530
974
- '952': 4.10.640
975
- '953': 4.10.70
976
- '954': 4.10.80
977
- '955': 4.10.800
978
- '956': 4.10.810
979
- '957': 4.10.820
980
- '958': 4.10.830
981
- '959': 4.10.860
982
- '960': 4.10.91
983
- '961': 4.10.910
984
- '962': 4.10.93
985
- '963': 4.10.950
986
- '964': 4.10.x
987
- splits:
988
- - name: test
989
- num_bytes: 553790403
990
- num_examples: 27638
991
- download_size: 449607618
992
- dataset_size: 553790403
993
- configs:
994
- - config_name: default
995
- data_files:
996
- - split: test
997
- path: data/test-*
998
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ license: bsd-3-clause
3
+ task_categories:
4
+ - other
5
+ task_ids:
6
+ - multi-class-classification
7
+ language:
8
+ - en
9
+ tags:
10
+ - protein
11
+ - structure
12
+ - fold-classification
13
+ - tedbench
14
+ - cath
15
+ - experimental
16
+ pretty_name: TEDBench-CATH
17
+ size_categories:
18
+ - 10K<n<100K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
  ---
20
+
21
+ # TEDBench-CATH (CATH 4.4 external test set)
22
+
23
+ External test set derived from **CATH 4.4** experimental structures (40 %
24
+ non-redundant set), used to evaluate TEDBench models on crystallographic data.
25
+
26
+ Part of the [TEDBench](https://github.com/BorgwardtLab/TEDBench) benchmark
27
+ (ICML 2026).
28
+
29
+ ## Dataset statistics
30
+
31
+ | Split | Structures |
32
+ |-------|----------:|
33
+ | Test | 27,638 |
34
+
35
+ **965 CATH topology (T-level) classes** — same label space as
36
+ [dexiongc/tedbench](https://huggingface.co/datasets/dexiongc/tedbench).
37
+
38
+ ## Schema
39
+
40
+ | Column | Type | Description |
41
+ |--------|------|-------------|
42
+ | `name` | `string` | PDB chain identifier in `<pdbid>.<chain>` format (e.g. `1abc.A`) |
43
+ | `sequence` | `string` | Amino-acid sequence (single-letter code) |
44
+ | `coords` | `[L, 3, 3]` float32 | Backbone N/Cα/C coordinates (Å) from experimental structure |
45
+ | `plddt` | `[L]` float32 | Per-residue confidence proxy (set to 100 for experimental structures) |
46
+ | `residue_index` | `[L]` int64 | Author residue number from the PDB file |
47
+ | `seq_ids` | `[L]` int64 | ESM-tokenised sequence IDs |
48
+ | `label` | `ClassLabel` | CATH topology class index (same label space as TEDBench) |
49
+
50
+ Protein identifiers follow the `<pdbid>.<chain>` convention (e.g. `1abc.A`),
51
+ matching the CATH domain annotation files. The `label` `ClassLabel` uses the
52
+ same CATH topology strings and integer indices as the TEDBench training set.
53
+
54
+ ## Usage
55
+
56
+ ### Load from HuggingFace
57
+
58
+ ```python
59
+ from datasets import load_dataset
60
+ import torch
61
+
62
+ cath = load_dataset("dexiongc/tedbench-cath", split="test")
63
+ sample = cath[0]
64
+
65
+ coords = torch.tensor(sample["coords"]) # [L, 3, 3]
66
+ label = sample["label"] # int index
67
+ cath_code = cath.features["label"].int2str(label)
68
+ ```
69
+
70
+ ### Use in TEDBench training scripts
71
+
72
+ ```bash
73
+ python main_test_ted.py datamodule=hf_cath_test pretrained_model_path=<ckpt>
74
+ ```
75
+
76
+ ## Source data
77
+
78
+ CATH 4.4 40 % non-redundant representative set from [CATHDB](https://www.cathdb.info/wiki?id=data:index). Structures fetched from
79
+ PDB-REDO / RCSB, quality-filtered, and converted to single-chain PDB files. The `plddt` column is set to
80
+ 100.0 for all residues (these are experimental structures, not AlphaFold
81
+ predictions).
82
+
83
+ ## Citation
84
+
85
+ ```bibtex
86
+ @inproceedings{chen2026tedbench,
87
+ title={Protein Fold Classification at Scale: Benchmarking and Pretraining},
88
+ author={Chen, Dexiong and Manolache, Andrei and Niepert, Mathias and Borgwardt, Karsten},
89
+ booktitle={Proceedings of the 43rd International Conference on Machine Learning (ICML)},
90
+ year={2026}
91
+ }
92
+ ```
93
+
94
+ ## License
95
+
96
+ BSD-3-Clause