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Add anonymous Croissant metadata for NeurIPS submission

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  1. report_croissant-validation_TiBuDB.md +767 -0
report_croissant-validation_TiBuDB.md ADDED
@@ -0,0 +1,767 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # CROISSANT VALIDATION REPORT
2
+ ================================================================================
3
+ ## VALIDATION RESULTS
4
+ --------------------------------------------------------------------------------
5
+ Starting validation for file: croissant.json
6
+ ### JSON Format Validation
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+
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+ The file is valid JSON.
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+ ### Croissant Schema Validation
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+
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+ The dataset passes Croissant validation.
12
+ ### Responsible AI Metadata
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+
14
+ All required Responsible AI metadata fields are present.
15
+ ### Records Generation Test
16
+
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+ Record set 'coco_obb_splits' passed validation.
18
+ Record set 'coco_obb' passed validation.
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+ Record set 'coco_standard_splits' passed validation.
20
+ Record set 'coco_standard' passed validation.
21
+ Record set 'dota_splits' passed validation.
22
+ Record set 'dota' passed validation.
23
+ Record set 'large_image_test_splits' passed validation.
24
+ Record set 'large_image_test' passed validation.
25
+ Record set 'roboflow_splits' passed validation.
26
+ Record set 'roboflow' passed validation.
27
+ Record set 'yolo_det_splits' passed validation.
28
+ Record set 'yolo_det' passed validation.
29
+ Record set 'yolo_seg_splits' passed validation.
30
+ Record set 'yolo_seg' passed validation.
31
+ ## JSON-LD REFERENCE
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+ ================================================================================
33
+ ```json
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+ {
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+ "@context": {
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+ "@language": "en",
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+ "@vocab": "https://schema.org/",
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+ "arrayShape": "cr:arrayShape",
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+ "citeAs": "cr:citeAs",
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+ "column": "cr:column",
41
+ "conformsTo": "dct:conformsTo",
42
+ "containedIn": "cr:containedIn",
43
+ "cr": "http://mlcommons.org/croissant/",
44
+ "data": {
45
+ "@id": "cr:data",
46
+ "@type": "@json"
47
+ },
48
+ "dataBiases": "rai:dataBiases",
49
+ "dataCollection": "cr:dataCollection",
50
+ "dataType": {
51
+ "@id": "cr:dataType",
52
+ "@type": "@vocab"
53
+ },
54
+ "dct": "http://purl.org/dc/terms/",
55
+ "extract": "cr:extract",
56
+ "field": "cr:field",
57
+ "fileProperty": "cr:fileProperty",
58
+ "fileObject": "cr:fileObject",
59
+ "fileSet": "cr:fileSet",
60
+ "format": "cr:format",
61
+ "includes": "cr:includes",
62
+ "isArray": "cr:isArray",
63
+ "isLiveDataset": "cr:isLiveDataset",
64
+ "jsonPath": "cr:jsonPath",
65
+ "key": "cr:key",
66
+ "md5": "cr:md5",
67
+ "parentField": "cr:parentField",
68
+ "path": "cr:path",
69
+ "personalSensitiveInformation": "rai:personalSensitiveInformation",
70
+ "recordSet": "cr:recordSet",
71
+ "references": "cr:references",
72
+ "regex": "cr:regex",
73
+ "repeated": "cr:repeated",
74
+ "replace": "cr:replace",
75
+ "sc": "https://schema.org/",
76
+ "separator": "cr:separator",
77
+ "source": "cr:source",
78
+ "subField": "cr:subField",
79
+ "transform": "cr:transform",
80
+ "@base": "cr_base_iri/"
81
+ },
82
+ "@type": "sc:Dataset",
83
+ "distribution": [
84
+ {
85
+ "@type": "cr:FileObject",
86
+ "@id": "repo",
87
+ "name": "repo",
88
+ "description": "The Hugging Face git repository.",
89
+ "contentUrl": "https://huggingface.co/datasets/anonymous-submission-dataset-code/TiBuDB/tree/refs%2Fconvert%2Fparquet",
90
+ "encodingFormat": "git+https",
91
+ "sha256": "https://github.com/mlcommons/croissant/issues/80"
92
+ },
93
+ {
94
+ "@type": "cr:FileSet",
95
+ "@id": "parquet-files-for-config-coco_obb",
96
+ "containedIn": {
97
+ "@id": "repo"
98
+ },
99
+ "encodingFormat": "application/x-parquet",
100
+ "includes": "coco_obb/*/*.parquet"
101
+ },
102
+ {
103
+ "@type": "cr:FileSet",
104
+ "@id": "parquet-files-for-config-coco_standard",
105
+ "containedIn": {
106
+ "@id": "repo"
107
+ },
108
+ "encodingFormat": "application/x-parquet",
109
+ "includes": "coco_standard/*/*.parquet"
110
+ },
111
+ {
112
+ "@type": "cr:FileSet",
113
+ "@id": "parquet-files-for-config-dota",
114
+ "containedIn": {
115
+ "@id": "repo"
116
+ },
117
+ "encodingFormat": "application/x-parquet",
118
+ "includes": "dota/*/*.parquet"
119
+ },
120
+ {
121
+ "@type": "cr:FileSet",
122
+ "@id": "parquet-files-for-config-large_image_test",
123
+ "containedIn": {
124
+ "@id": "repo"
125
+ },
126
+ "encodingFormat": "application/x-parquet",
127
+ "includes": "large_image_test/*/*.parquet"
128
+ },
129
+ {
130
+ "@type": "cr:FileSet",
131
+ "@id": "parquet-files-for-config-roboflow",
132
+ "containedIn": {
133
+ "@id": "repo"
134
+ },
135
+ "encodingFormat": "application/x-parquet",
136
+ "includes": "roboflow/*/*.parquet"
137
+ },
138
+ {
139
+ "@type": "cr:FileSet",
140
+ "@id": "parquet-files-for-config-yolo_det",
141
+ "containedIn": {
142
+ "@id": "repo"
143
+ },
144
+ "encodingFormat": "application/x-parquet",
145
+ "includes": "yolo_det/*/*.parquet"
146
+ },
147
+ {
148
+ "@type": "cr:FileSet",
149
+ "@id": "parquet-files-for-config-yolo_seg",
150
+ "containedIn": {
151
+ "@id": "repo"
152
+ },
153
+ "encodingFormat": "application/x-parquet",
154
+ "includes": "yolo_seg/*/*.parquet"
155
+ }
156
+ ],
157
+ "recordSet": [
158
+ {
159
+ "@type": "cr:RecordSet",
160
+ "dataType": "cr:Split",
161
+ "key": {
162
+ "@id": "coco_obb_splits/split_name"
163
+ },
164
+ "@id": "coco_obb_splits",
165
+ "name": "coco_obb_splits",
166
+ "description": "Splits for the coco_obb config.",
167
+ "field": [
168
+ {
169
+ "@type": "cr:Field",
170
+ "@id": "coco_obb_splits/split_name",
171
+ "dataType": "sc:Text"
172
+ }
173
+ ],
174
+ "data": [
175
+ {
176
+ "coco_obb_splits/split_name": "train"
177
+ },
178
+ {
179
+ "coco_obb_splits/split_name": "validation"
180
+ }
181
+ ]
182
+ },
183
+ {
184
+ "@type": "cr:RecordSet",
185
+ "@id": "coco_obb",
186
+ "description": "anonymous-submission-dataset-code/TiBuDB - 'coco_obb' subset\n\nAdditional information:\n- 2 splits: train, validation",
187
+ "field": [
188
+ {
189
+ "@type": "cr:Field",
190
+ "@id": "coco_obb/split",
191
+ "dataType": "sc:Text",
192
+ "source": {
193
+ "fileSet": {
194
+ "@id": "parquet-files-for-config-coco_obb"
195
+ },
196
+ "extract": {
197
+ "fileProperty": "fullpath"
198
+ },
199
+ "transform": {
200
+ "regex": "coco_obb/(?:partial-)?(train|validation)/.+parquet$"
201
+ }
202
+ },
203
+ "references": {
204
+ "field": {
205
+ "@id": "coco_obb_splits/split_name"
206
+ }
207
+ }
208
+ },
209
+ {
210
+ "@type": "cr:Field",
211
+ "@id": "coco_obb/image",
212
+ "dataType": "sc:ImageObject",
213
+ "source": {
214
+ "fileSet": {
215
+ "@id": "parquet-files-for-config-coco_obb"
216
+ },
217
+ "extract": {
218
+ "column": "image"
219
+ },
220
+ "transform": {
221
+ "jsonPath": "bytes"
222
+ }
223
+ }
224
+ },
225
+ {
226
+ "@type": "cr:Field",
227
+ "@id": "coco_obb/label",
228
+ "dataType": "sc:Integer",
229
+ "source": {
230
+ "fileSet": {
231
+ "@id": "parquet-files-for-config-coco_obb"
232
+ },
233
+ "extract": {
234
+ "column": "label"
235
+ }
236
+ }
237
+ }
238
+ ]
239
+ },
240
+ {
241
+ "@type": "cr:RecordSet",
242
+ "dataType": "cr:Split",
243
+ "key": {
244
+ "@id": "coco_standard_splits/split_name"
245
+ },
246
+ "@id": "coco_standard_splits",
247
+ "name": "coco_standard_splits",
248
+ "description": "Splits for the coco_standard config.",
249
+ "field": [
250
+ {
251
+ "@type": "cr:Field",
252
+ "@id": "coco_standard_splits/split_name",
253
+ "dataType": "sc:Text"
254
+ }
255
+ ],
256
+ "data": [
257
+ {
258
+ "coco_standard_splits/split_name": "train"
259
+ },
260
+ {
261
+ "coco_standard_splits/split_name": "validation"
262
+ }
263
+ ]
264
+ },
265
+ {
266
+ "@type": "cr:RecordSet",
267
+ "@id": "coco_standard",
268
+ "description": "anonymous-submission-dataset-code/TiBuDB - 'coco_standard' subset\n\nAdditional information:\n- 2 splits: train, validation",
269
+ "field": [
270
+ {
271
+ "@type": "cr:Field",
272
+ "@id": "coco_standard/split",
273
+ "dataType": "sc:Text",
274
+ "source": {
275
+ "fileSet": {
276
+ "@id": "parquet-files-for-config-coco_standard"
277
+ },
278
+ "extract": {
279
+ "fileProperty": "fullpath"
280
+ },
281
+ "transform": {
282
+ "regex": "coco_standard/(?:partial-)?(train|validation)/.+parquet$"
283
+ }
284
+ },
285
+ "references": {
286
+ "field": {
287
+ "@id": "coco_standard_splits/split_name"
288
+ }
289
+ }
290
+ },
291
+ {
292
+ "@type": "cr:Field",
293
+ "@id": "coco_standard/image",
294
+ "dataType": "sc:ImageObject",
295
+ "source": {
296
+ "fileSet": {
297
+ "@id": "parquet-files-for-config-coco_standard"
298
+ },
299
+ "extract": {
300
+ "column": "image"
301
+ },
302
+ "transform": {
303
+ "jsonPath": "bytes"
304
+ }
305
+ }
306
+ },
307
+ {
308
+ "@type": "cr:Field",
309
+ "@id": "coco_standard/label",
310
+ "dataType": "sc:Integer",
311
+ "source": {
312
+ "fileSet": {
313
+ "@id": "parquet-files-for-config-coco_standard"
314
+ },
315
+ "extract": {
316
+ "column": "label"
317
+ }
318
+ }
319
+ }
320
+ ]
321
+ },
322
+ {
323
+ "@type": "cr:RecordSet",
324
+ "dataType": "cr:Split",
325
+ "key": {
326
+ "@id": "dota_splits/split_name"
327
+ },
328
+ "@id": "dota_splits",
329
+ "name": "dota_splits",
330
+ "description": "Splits for the dota config.",
331
+ "field": [
332
+ {
333
+ "@type": "cr:Field",
334
+ "@id": "dota_splits/split_name",
335
+ "dataType": "sc:Text"
336
+ }
337
+ ],
338
+ "data": [
339
+ {
340
+ "dota_splits/split_name": "train"
341
+ },
342
+ {
343
+ "dota_splits/split_name": "validation"
344
+ }
345
+ ]
346
+ },
347
+ {
348
+ "@type": "cr:RecordSet",
349
+ "@id": "dota",
350
+ "description": "anonymous-submission-dataset-code/TiBuDB - 'dota' subset\n\nAdditional information:\n- 2 splits: train, validation",
351
+ "field": [
352
+ {
353
+ "@type": "cr:Field",
354
+ "@id": "dota/split",
355
+ "dataType": "sc:Text",
356
+ "source": {
357
+ "fileSet": {
358
+ "@id": "parquet-files-for-config-dota"
359
+ },
360
+ "extract": {
361
+ "fileProperty": "fullpath"
362
+ },
363
+ "transform": {
364
+ "regex": "dota/(?:partial-)?(train|validation)/.+parquet$"
365
+ }
366
+ },
367
+ "references": {
368
+ "field": {
369
+ "@id": "dota_splits/split_name"
370
+ }
371
+ }
372
+ },
373
+ {
374
+ "@type": "cr:Field",
375
+ "@id": "dota/image",
376
+ "dataType": "sc:ImageObject",
377
+ "source": {
378
+ "fileSet": {
379
+ "@id": "parquet-files-for-config-dota"
380
+ },
381
+ "extract": {
382
+ "column": "image"
383
+ },
384
+ "transform": {
385
+ "jsonPath": "bytes"
386
+ }
387
+ }
388
+ },
389
+ {
390
+ "@type": "cr:Field",
391
+ "@id": "dota/label",
392
+ "dataType": "sc:Text",
393
+ "source": {
394
+ "fileSet": {
395
+ "@id": "parquet-files-for-config-dota"
396
+ },
397
+ "extract": {
398
+ "column": "label"
399
+ }
400
+ }
401
+ }
402
+ ]
403
+ },
404
+ {
405
+ "@type": "cr:RecordSet",
406
+ "dataType": "cr:Split",
407
+ "key": {
408
+ "@id": "large_image_test_splits/split_name"
409
+ },
410
+ "@id": "large_image_test_splits",
411
+ "name": "large_image_test_splits",
412
+ "description": "Splits for the large_image_test config.",
413
+ "field": [
414
+ {
415
+ "@type": "cr:Field",
416
+ "@id": "large_image_test_splits/split_name",
417
+ "dataType": "sc:Text"
418
+ }
419
+ ],
420
+ "data": [
421
+ {
422
+ "large_image_test_splits/split_name": "train"
423
+ }
424
+ ]
425
+ },
426
+ {
427
+ "@type": "cr:RecordSet",
428
+ "@id": "large_image_test",
429
+ "description": "anonymous-submission-dataset-code/TiBuDB - 'large_image_test' subset",
430
+ "field": [
431
+ {
432
+ "@type": "cr:Field",
433
+ "@id": "large_image_test/split",
434
+ "dataType": "sc:Text",
435
+ "source": {
436
+ "fileSet": {
437
+ "@id": "parquet-files-for-config-large_image_test"
438
+ },
439
+ "extract": {
440
+ "fileProperty": "fullpath"
441
+ },
442
+ "transform": {
443
+ "regex": "large_image_test/(?:partial-)?(train)/.+parquet$"
444
+ }
445
+ },
446
+ "references": {
447
+ "field": {
448
+ "@id": "large_image_test_splits/split_name"
449
+ }
450
+ }
451
+ },
452
+ {
453
+ "@type": "cr:Field",
454
+ "@id": "large_image_test/image",
455
+ "dataType": "sc:ImageObject",
456
+ "source": {
457
+ "fileSet": {
458
+ "@id": "parquet-files-for-config-large_image_test"
459
+ },
460
+ "extract": {
461
+ "column": "image"
462
+ },
463
+ "transform": {
464
+ "jsonPath": "bytes"
465
+ }
466
+ }
467
+ },
468
+ {
469
+ "@type": "cr:Field",
470
+ "@id": "large_image_test/label",
471
+ "dataType": "sc:Integer",
472
+ "source": {
473
+ "fileSet": {
474
+ "@id": "parquet-files-for-config-large_image_test"
475
+ },
476
+ "extract": {
477
+ "column": "label"
478
+ }
479
+ }
480
+ }
481
+ ]
482
+ },
483
+ {
484
+ "@type": "cr:RecordSet",
485
+ "dataType": "cr:Split",
486
+ "key": {
487
+ "@id": "roboflow_splits/split_name"
488
+ },
489
+ "@id": "roboflow_splits",
490
+ "name": "roboflow_splits",
491
+ "description": "Splits for the roboflow config.",
492
+ "field": [
493
+ {
494
+ "@type": "cr:Field",
495
+ "@id": "roboflow_splits/split_name",
496
+ "dataType": "sc:Text"
497
+ }
498
+ ],
499
+ "data": [
500
+ {
501
+ "roboflow_splits/split_name": "train"
502
+ },
503
+ {
504
+ "roboflow_splits/split_name": "validation"
505
+ }
506
+ ]
507
+ },
508
+ {
509
+ "@type": "cr:RecordSet",
510
+ "@id": "roboflow",
511
+ "description": "anonymous-submission-dataset-code/TiBuDB - 'roboflow' subset\n\nAdditional information:\n- 2 splits: train, validation",
512
+ "field": [
513
+ {
514
+ "@type": "cr:Field",
515
+ "@id": "roboflow/split",
516
+ "dataType": "sc:Text",
517
+ "source": {
518
+ "fileSet": {
519
+ "@id": "parquet-files-for-config-roboflow"
520
+ },
521
+ "extract": {
522
+ "fileProperty": "fullpath"
523
+ },
524
+ "transform": {
525
+ "regex": "roboflow/(?:partial-)?(train|validation)/.+parquet$"
526
+ }
527
+ },
528
+ "references": {
529
+ "field": {
530
+ "@id": "roboflow_splits/split_name"
531
+ }
532
+ }
533
+ },
534
+ {
535
+ "@type": "cr:Field",
536
+ "@id": "roboflow/image",
537
+ "dataType": "sc:ImageObject",
538
+ "source": {
539
+ "fileSet": {
540
+ "@id": "parquet-files-for-config-roboflow"
541
+ },
542
+ "extract": {
543
+ "column": "image"
544
+ },
545
+ "transform": {
546
+ "jsonPath": "bytes"
547
+ }
548
+ }
549
+ },
550
+ {
551
+ "@type": "cr:Field",
552
+ "@id": "roboflow/label",
553
+ "dataType": "sc:Integer",
554
+ "source": {
555
+ "fileSet": {
556
+ "@id": "parquet-files-for-config-roboflow"
557
+ },
558
+ "extract": {
559
+ "column": "label"
560
+ }
561
+ }
562
+ }
563
+ ]
564
+ },
565
+ {
566
+ "@type": "cr:RecordSet",
567
+ "dataType": "cr:Split",
568
+ "key": {
569
+ "@id": "yolo_det_splits/split_name"
570
+ },
571
+ "@id": "yolo_det_splits",
572
+ "name": "yolo_det_splits",
573
+ "description": "Splits for the yolo_det config.",
574
+ "field": [
575
+ {
576
+ "@type": "cr:Field",
577
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+ "conformsTo": "http://mlcommons.org/croissant/1.1",
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+ "name": "TiBuDB",
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+ "description": "\n\t\n\t\t\n\t\t\ud83e\udee7 TinyBubble Dataset\n\t\n\nTinyBubble is a multi-task benchmark for bubble flow detection. \nIt supports 5+ annotation formats including HBB, OBB, and Segmentation.\n\n\t\n\t\t\n\t\t\ud83d\udee0\ufe0f Toolkit & Scripts\n\t\n\nTo facilitate multi-format training, we provide a specialized toolkit in the /tools directory:\n\nFormat Converters: obb2coco.py, yolo2coco.py, and yolo2dota.py for seamless transitions between annotation standards.\nData Integrity: check_duplicated_yolo.py to ensure dataset uniqueness and\u2026 See the full description on the dataset page: https://huggingface.co/datasets/anonymous-submission-dataset-code/TiBuDB.",
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+ "anonymous-submission-dataset-code/TiBuDB"
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+ ],
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+ "creator": {
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+ "@type": "Person",
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+ "name": "Anonymous Submission Dataset and Code",
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+ "url": "https://huggingface.co/anonymous-submission-dataset-code"
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+ "keywords": [
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+ "object-detection",
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+ "image-segmentation",
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+ "English",
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+ "etalab-2.0",
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+ "< 1K",
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+ "imagefolder",
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+ "Image",
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+ "Text",
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+ "Datasets",
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+ "Croissant",
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+ "\ud83c\uddfa\ud83c\uddf8 Region: US",
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+ "oriented-bounding-box",
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+ "obb",
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+ "multi-task",
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+ "computer-vision"
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+ ],
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+ "license": "https://choosealicense.com/licenses/etalab-2.0/",
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+ "url": "https://huggingface.co/datasets/anonymous-submission-dataset-code/TiBuDB",
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+ "rai:dataLimitations": "TiBuDB contains images from different gas-liquid mass transfer experiments but does not include the associated exploratory parameter set (e.g., pressure or gas/liquid flow rate). Our strategy is to annotate smaller patches and then infer on complete images to reduce annotation effort. Consequently, bubbles located at the image edges may appear as standard horizontal bounding boxes rather than oriented bounding boxes in the case of oriented detection. This is because rotation angles are difficult to determine when the bubble is truncated by the frame during patching. Additionally, some regions with low contrast or strong overlap may lead to less accurate annotations.",
761
+ "rai:dataBiases": "TiBuDB focuses on tiny bubble detection. Since larger-scale bubbles are not included in the dataset, this may lead to poor recognition when encountering large bubbles. Furthermore, for mask annotation, under the assumption that all bubbles have an elliptical shape in 2D, some anomalous forms may result in coarse masks rather than pixel-wise ground truth. For overlapping annotations, labels are assigned approximately based on the visible parts.",
762
+ "rai:personalSensitiveInformation": "TiBuDB does not contain any personal or sensitive information. The images are from physical gas-liquid experiments and do not involve human subjects, identity, or private data.",
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+ "rai:dataUseCases": "TiBuDB is used for deep learning-based bubble detection in computer vision, particularly for estimating Bubble Size Distribution and Sauter Mean Diameter in gas-liquid mass transfer analysis.",
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+ "rai:dataSocialImpact": "TiBuDB is mainly used for scientific research in fluid mechanics and chemical engineering. It can help improve the understanding of gas-liquid mass transfer and industrial process efficiency. There is no direct negative social impact expected, as no human-related data is involved. However, using this dataset outside of its intended experimental context may lead to incorrect interpretation or unreliable model performance.",
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+ "rai:hasSyntheticData": false
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+ }
767
+ ```