3DTimeDataset commited on
Commit
89b6ec6
·
verified ·
1 Parent(s): 7b2242a

Delete croissant_rai_3DTime.json

Browse files
Files changed (1) hide show
  1. croissant_rai_3DTime.json +0 -443
croissant_rai_3DTime.json DELETED
@@ -1,443 +0,0 @@
1
- {
2
- "@context": {
3
- "@language": "en",
4
- "@vocab": "https://schema.org/",
5
- "arrayShape": "cr:arrayShape",
6
- "citeAs": "cr:citeAs",
7
- "column": "cr:column",
8
- "conformsTo": "dct:conformsTo",
9
- "containedIn": "cr:containedIn",
10
- "cr": "http://mlcommons.org/croissant/",
11
- "data": {
12
- "@id": "cr:data",
13
- "@type": "@json"
14
- },
15
- "dataBiases": "cr:dataBiases",
16
- "dataCollection": "cr:dataCollection",
17
- "dataType": {
18
- "@id": "cr:dataType",
19
- "@type": "@vocab"
20
- },
21
- "dct": "http://purl.org/dc/terms/",
22
- "extract": "cr:extract",
23
- "field": "cr:field",
24
- "fileProperty": "cr:fileProperty",
25
- "fileObject": "cr:fileObject",
26
- "fileSet": "cr:fileSet",
27
- "format": "cr:format",
28
- "includes": "cr:includes",
29
- "isArray": "cr:isArray",
30
- "isLiveDataset": "cr:isLiveDataset",
31
- "jsonPath": "cr:jsonPath",
32
- "key": "cr:key",
33
- "md5": "cr:md5",
34
- "parentField": "cr:parentField",
35
- "path": "cr:path",
36
- "personalSensitiveInformation": "cr:personalSensitiveInformation",
37
- "recordSet": "cr:recordSet",
38
- "references": "cr:references",
39
- "regex": "cr:regex",
40
- "repeated": "cr:repeated",
41
- "replace": "cr:replace",
42
- "sc": "https://schema.org/",
43
- "separator": "cr:separator",
44
- "source": "cr:source",
45
- "subField": "cr:subField",
46
- "transform": "cr:transform",
47
- "rai": "http://mlcommons.org/croissant/RAI/",
48
- "prov": "http://www.w3.org/ns/prov#"
49
- },
50
- "@type": "sc:Dataset",
51
- "sc:version": "1.0.0",
52
- "distribution": [
53
- {
54
- "@type": "cr:FileObject",
55
- "@id": "repo",
56
- "name": "repo",
57
- "description": "The Hugging Face git repository.",
58
- "contentUrl": "https://huggingface.co/datasets/3DTimeDataset/3DTime/tree/refs%2Fconvert%2Fparquet",
59
- "encodingFormat": "git+https",
60
- "sha256": "https://github.com/mlcommons/croissant/issues/80"
61
- },
62
- {
63
- "@type": "cr:FileSet",
64
- "@id": "parquet-files-for-config-default",
65
- "containedIn": {
66
- "@id": "repo"
67
- },
68
- "encodingFormat": "application/x-parquet",
69
- "includes": "default/*/*.parquet"
70
- }
71
- ],
72
- "recordSet": [
73
- {
74
- "@type": "cr:RecordSet",
75
- "dataType": "cr:Split",
76
- "key": {
77
- "@id": "default_splits/split_name"
78
- },
79
- "@id": "default_splits",
80
- "name": "default_splits",
81
- "description": "Splits for the default config.",
82
- "field": [
83
- {
84
- "@type": "cr:Field",
85
- "@id": "default_splits/split_name",
86
- "dataType": "sc:Text"
87
- }
88
- ],
89
- "data": [
90
- {
91
- "default_splits/split_name": "train"
92
- }
93
- ]
94
- },
95
- {
96
- "@type": "cr:RecordSet",
97
- "@id": "default",
98
- "description": "3DTimeDataset/3DTime - 'default' subset",
99
- "field": [
100
- {
101
- "@type": "cr:Field",
102
- "@id": "default/split",
103
- "dataType": "sc:Text",
104
- "source": {
105
- "fileSet": {
106
- "@id": "parquet-files-for-config-default"
107
- },
108
- "extract": {
109
- "fileProperty": "fullpath"
110
- },
111
- "transform": {
112
- "regex": "default/(?:partial-)?(train)/.+parquet$"
113
- }
114
- },
115
- "references": {
116
- "field": {
117
- "@id": "default_splits/split_name"
118
- }
119
- }
120
- },
121
- {
122
- "@type": "cr:Field",
123
- "@id": "default/3D_mesh_name",
124
- "dataType": "sc:Text",
125
- "source": {
126
- "fileSet": {
127
- "@id": "parquet-files-for-config-default"
128
- },
129
- "extract": {
130
- "column": "3D mesh name"
131
- }
132
- }
133
- },
134
- {
135
- "@type": "cr:Field",
136
- "@id": "default/3D_mesh_size__bytes_",
137
- "dataType": "cr:Int64",
138
- "source": {
139
- "fileSet": {
140
- "@id": "parquet-files-for-config-default"
141
- },
142
- "extract": {
143
- "column": "3D mesh size (bytes)"
144
- }
145
- }
146
- },
147
- {
148
- "@type": "cr:Field",
149
- "@id": "default/Bounding_box_X__mm_",
150
- "dataType": "cr:Float64",
151
- "source": {
152
- "fileSet": {
153
- "@id": "parquet-files-for-config-default"
154
- },
155
- "extract": {
156
- "column": "Bounding box X (mm)"
157
- }
158
- }
159
- },
160
- {
161
- "@type": "cr:Field",
162
- "@id": "default/Bounding_box_Y__mm_",
163
- "dataType": "cr:Float64",
164
- "source": {
165
- "fileSet": {
166
- "@id": "parquet-files-for-config-default"
167
- },
168
- "extract": {
169
- "column": "Bounding box Y (mm)"
170
- }
171
- }
172
- },
173
- {
174
- "@type": "cr:Field",
175
- "@id": "default/Bounding_box_Z__mm_",
176
- "dataType": "cr:Float64",
177
- "source": {
178
- "fileSet": {
179
- "@id": "parquet-files-for-config-default"
180
- },
181
- "extract": {
182
- "column": "Bounding box Z (mm)"
183
- }
184
- }
185
- },
186
- {
187
- "@type": "cr:Field",
188
- "@id": "default/Bounding_box_ratio",
189
- "dataType": "cr:Float64",
190
- "source": {
191
- "fileSet": {
192
- "@id": "parquet-files-for-config-default"
193
- },
194
- "extract": {
195
- "column": "Bounding box ratio"
196
- }
197
- }
198
- },
199
- {
200
- "@type": "cr:Field",
201
- "@id": "default/Slice_time__s_",
202
- "dataType": "cr:Float64",
203
- "source": {
204
- "fileSet": {
205
- "@id": "parquet-files-for-config-default"
206
- },
207
- "extract": {
208
- "column": "Slice time (s)"
209
- }
210
- }
211
- },
212
- {
213
- "@type": "cr:Field",
214
- "@id": "default/Infill_type",
215
- "dataType": "sc:Text",
216
- "source": {
217
- "fileSet": {
218
- "@id": "parquet-files-for-config-default"
219
- },
220
- "extract": {
221
- "column": "Infill type"
222
- }
223
- }
224
- },
225
- {
226
- "@type": "cr:Field",
227
- "@id": "default/Infill_rotation____",
228
- "dataType": "cr:Int64",
229
- "source": {
230
- "fileSet": {
231
- "@id": "parquet-files-for-config-default"
232
- },
233
- "extract": {
234
- "column": "Infill rotation (°)"
235
- }
236
- }
237
- },
238
- {
239
- "@type": "cr:Field",
240
- "@id": "default/Infill_density____",
241
- "dataType": "cr:Int64",
242
- "source": {
243
- "fileSet": {
244
- "@id": "parquet-files-for-config-default"
245
- },
246
- "extract": {
247
- "column": "Infill density (%)"
248
- }
249
- }
250
- },
251
- {
252
- "@type": "cr:Field",
253
- "@id": "default/Material",
254
- "dataType": "sc:Text",
255
- "source": {
256
- "fileSet": {
257
- "@id": "parquet-files-for-config-default"
258
- },
259
- "extract": {
260
- "column": "Material"
261
- }
262
- }
263
- },
264
- {
265
- "@type": "cr:Field",
266
- "@id": "default/Slicing_comment",
267
- "dataType": "sc:Text",
268
- "source": {
269
- "fileSet": {
270
- "@id": "parquet-files-for-config-default"
271
- },
272
- "extract": {
273
- "column": "Slicing comment"
274
- }
275
- }
276
- },
277
- {
278
- "@type": "cr:Field",
279
- "@id": "default/G-code_file_name",
280
- "dataType": "sc:Text",
281
- "source": {
282
- "fileSet": {
283
- "@id": "parquet-files-for-config-default"
284
- },
285
- "extract": {
286
- "column": "G-code file name"
287
- }
288
- }
289
- },
290
- {
291
- "@type": "cr:Field",
292
- "@id": "default/G-code_file_size__bytes_",
293
- "dataType": "cr:Int64",
294
- "source": {
295
- "fileSet": {
296
- "@id": "parquet-files-for-config-default"
297
- },
298
- "extract": {
299
- "column": "G-code file size (bytes)"
300
- }
301
- }
302
- },
303
- {
304
- "@type": "cr:Field",
305
- "@id": "default/Number_of_G0_and_G1",
306
- "dataType": "cr:Int64",
307
- "source": {
308
- "fileSet": {
309
- "@id": "parquet-files-for-config-default"
310
- },
311
- "extract": {
312
- "column": "Number of G0 and G1"
313
- }
314
- }
315
- },
316
- {
317
- "@type": "cr:Field",
318
- "@id": "default/TimeKlip_processing_time__s_",
319
- "dataType": "cr:Float64",
320
- "source": {
321
- "fileSet": {
322
- "@id": "parquet-files-for-config-default"
323
- },
324
- "extract": {
325
- "column": "TimeKlip processing time (s)"
326
- }
327
- }
328
- },
329
- {
330
- "@type": "cr:Field",
331
- "@id": "default/Print_time__s_",
332
- "dataType": "cr:Float64",
333
- "source": {
334
- "fileSet": {
335
- "@id": "parquet-files-for-config-default"
336
- },
337
- "extract": {
338
- "column": "Print time (s)"
339
- }
340
- }
341
- },
342
- {
343
- "@type": "cr:Field",
344
- "@id": "default/Binary_file_name",
345
- "dataType": "sc:Text",
346
- "source": {
347
- "fileSet": {
348
- "@id": "parquet-files-for-config-default"
349
- },
350
- "extract": {
351
- "column": "Binary file name"
352
- }
353
- }
354
- },
355
- {
356
- "@type": "cr:Field",
357
- "@id": "default/Uncompressing_time__s_",
358
- "dataType": "cr:Float64",
359
- "source": {
360
- "fileSet": {
361
- "@id": "parquet-files-for-config-default"
362
- },
363
- "extract": {
364
- "column": "Uncompressing time (s)"
365
- }
366
- }
367
- },
368
- {
369
- "@type": "cr:Field",
370
- "@id": "default/Vectorization_time__s_",
371
- "dataType": "cr:Float64",
372
- "source": {
373
- "fileSet": {
374
- "@id": "parquet-files-for-config-default"
375
- },
376
- "extract": {
377
- "column": "Vectorization time (s)"
378
- }
379
- }
380
- }
381
- ]
382
- }
383
- ],
384
- "conformsTo": "http://mlcommons.org/croissant/1.1",
385
- "name": "3DTime",
386
- "description": "\n\t\n\t\t\n\t\t3DTime dataset: (sample of) A Large Dataset of Multivariate Time-Series for 3D-printing Duration\n\t\n\nThis dataset is a small sample of the 3DTime dataset, for which the paper is currently under review for NeurIPS Datasets and Benchmarks 2026.\nThis smaller version contains:\n\n82 3D models (~0.08% of the full dataset), their corresponding sliced G-code, compressed annotated G-code, and binary vectorized files\nA total of 5,855,369 G-code instructions (~0.07% of the full dataset)\n\nIMPORTANT… See the full description on the dataset page: https://huggingface.co/datasets/3DTimeDataset/3DTime.",
387
- "alternateName": [
388
- "3DTimeDataset/3DTime",
389
- "3DTime"
390
- ],
391
- "creator": {
392
- "@type": "Person",
393
- "name": "3DTime Dataset",
394
- "url": "https://huggingface.co/3DTimeDataset"
395
- },
396
- "keywords": [
397
- "English",
398
- "mit",
399
- "< 1K",
400
- "csv",
401
- "3D",
402
- "Tabular",
403
- "Text",
404
- "Datasets",
405
- "pandas",
406
- "Polars",
407
- "Croissant",
408
- "print-duration",
409
- "3D-printing",
410
- "G-code",
411
- "supervised-learning",
412
- "regression",
413
- "time-series"
414
- ],
415
- "license": "https://choosealicense.com/licenses/mit/",
416
- "url": "https://huggingface.co/datasets/3DTimeDataset/3DTime",
417
- "rai:dataLimitations": "This dataset is limited to a single printer (Voron 2.4) for the Klipper firmware.",
418
- "rai:dataBiases": "This dataset does not contain any support instructions, as the detection of the need for support is a research field of its own.",
419
- "rai:personalSensitiveInformation": "This dataset contains no personal or sensitive information.",
420
- "rai:dataUseCases": "This dataset can be used to train and/or validate prediction models for G-code instructions. Validated use cases: print duration prediction and speed profiling prediction (see [paper], note that the paper in question is still under double-blind review). Not validated use cases: LLM fine tuning, G-code optimization.",
421
- "rai:dataSocialImpact": "This dataset poses no societal impacts.",
422
- "rai:hasSyntheticData": true,
423
- "prov:wasDerivedFrom": [
424
- {
425
- "@id": "https://github.com/idealab-isu/Slice-100K",
426
- "prov:label": "Slice-100k",
427
- "sc:license": "MIT",
428
- "prov:wasAttributedTo": {
429
- "@id": "https://doi.org/10.48550/arXiv.2407.04180"
430
- }
431
- }
432
- ],
433
- "prov:wasGeneratedBy": [
434
- {
435
- "@type": "prov:Activity",
436
- "prov:type": {
437
- "@id": "https://www.wikidata.org/wiki/Q109719325"
438
- },
439
- "prov:label": "Re-slice and annotation",
440
- "sc:description": "Re-slicing of all 3D mesh from the Slice-100k dataset, and G-code annotation with 7 targets."
441
- }
442
- ]
443
- }