Hugging Face's logo

Datasets:
iulia-elisa
/
XAMI-dataset

Tasks:
Image Segmentation
Modalities:
Image
Text
Formats:
parquet
Sub-tasks:
instance-segmentation
Size:
< 1K
Tags:
COCO format
Astronomy
XMM-Newton
CC BY-NC 3.0 IGO
Libraries:
Datasets
pandas
Dataset card Viewer Files Community
1
iulia-elisa commited on
Commit
7c72e57
•
1 Parent(s): 197dc46

Delete coco_format_to_parquet.ipynb

Browse files
Files changed (1) hide show
  1. coco_format_to_parquet.ipynb +0 -988
coco_format_to_parquet.ipynb DELETED
@@ -1,988 +0,0 @@
1
- {
2
- "cells": [
3
- {
4
- "cell_type": "code",
5
- "execution_count": 1,
6
- "id": "a333665e-77ee-43af-b539-8b2bc87c008c",
7
- "metadata": {},
8
- "outputs": [],
9
- "source": [
10
- "import json\n",
11
- "import pandas as pd\n",
12
- "from pathlib import Path\n",
13
- "from PIL import Image, ImageDraw, ImageFile\n",
14
- "import cv2\n",
15
- "import io \n",
16
- "import base64\n",
17
- "import numpy as np\n",
18
- "from pycocotools.coco import COCO\n",
19
- "import os\n",
20
- "import matplotlib.pyplot as plt\n",
21
- "import matplotlib.patches as patches\n",
22
- "from PIL import Image\n",
23
- "ImageFile.LOAD_TRUNCATED_IMAGES = True\n",
24
- "\n",
25
- "import utils\n",
26
- "\n",
27
- "dataset_dir = './mskf_0/'\n",
28
- "train_df, train_coco_data = utils.split_to_df(dataset_dir, 'train/')\n",
29
- "valid_df, valid_coco_data = utils.split_to_df(dataset_dir, 'valid')"
30
- ]
31
- },
32
- {
33
- "cell_type": "code",
34
- "execution_count": 2,
35
- "id": "0e0d5a99-4eba-49d4-931b-0128691631b1",
36
- "metadata": {
37
- "scrolled": true
38
- },
39
- "outputs": [
40
- {
41
- "data": {
42
- "text/plain": [
43
- "{'id': 1,\n",
44
- " 'license': 1,\n",
45
- " 'file_name': 'S0505210301_M_png.rf.e47187e88c167fad1db290b0214e2175.jpg',\n",
46
- " 'height': 512,\n",
47
- " 'width': 512,\n",
48
- " 'date_captured': '2024-05-08T06:13:06+00:00'}"
49
- ]
50
- },
51
- "execution_count": 2,
52
- "metadata": {},
53
- "output_type": "execute_result"
54
- }
55
- ],
56
- "source": [
57
- "train_coco_data['images'][0]"
58
- ]
59
- },
60
- {
61
- "cell_type": "code",
62
- "execution_count": 3,
63
- "id": "df660d83-5afb-4b7c-83e4-f1f9d68577cd",
64
- "metadata": {},
65
- "outputs": [
66
- {
67
- "data": {
68
- "text/plain": [
69
- "array([1, 2, 3, 4, 5])"
70
- ]
71
- },
72
- "execution_count": 3,
73
- "metadata": {},
74
- "output_type": "execute_result"
75
- }
76
- ],
77
- "source": [
78
- "np.unique(train_df['category_id'])"
79
- ]
80
- },
81
- {
82
- "cell_type": "code",
83
- "execution_count": 4,
84
- "id": "51f26d8d-0116-48fe-8cea-d070350df333",
85
- "metadata": {
86
- "scrolled": true
87
- },
88
- "outputs": [
89
- {
90
- "data": {
91
- "text/plain": [
92
- "{'image_id': array([<class 'int'>], dtype=object),\n",
93
- " 'category_id': array([<class 'int'>], dtype=object),\n",
94
- " 'bbox': array([<class 'list'>], dtype=object),\n",
95
- " 'area': array([<class 'float'>], dtype=object),\n",
96
- " 'segmentation': array([<class 'numpy.ndarray'>], dtype=object),\n",
97
- " 'iscrowd': array([<class 'int'>], dtype=object),\n",
98
- " 'width': array([<class 'int'>], dtype=object),\n",
99
- " 'height': array([<class 'int'>], dtype=object),\n",
100
- " 'observation': array([<class 'str'>], dtype=object),\n",
101
- " 'image': array([<class 'numpy.ndarray'>], dtype=object),\n",
102
- " 'annot_id': array([<class 'int'>], dtype=object)}"
103
- ]
104
- },
105
- "execution_count": 4,
106
- "metadata": {},
107
- "output_type": "execute_result"
108
- }
109
- ],
110
- "source": [
111
- "unique_types = {col: train_df[col].apply(type).unique() for col in train_df.columns}\n",
112
- "unique_types"
113
- ]
114
- },
115
- {
116
- "cell_type": "code",
117
- "execution_count": 5,
118
- "id": "6f464df1-9e86-47ed-a8c6-d5116a71085e",
119
- "metadata": {
120
- "scrolled": true
121
- },
122
- "outputs": [],
123
- "source": [
124
- "# train_df.head(20)"
125
- ]
126
- },
127
- {
128
- "cell_type": "code",
129
- "execution_count": 6,
130
- "id": "3f4afc2a-2ee4-458d-95c0-19e8497653da",
131
- "metadata": {
132
- "scrolled": true
133
- },
134
- "outputs": [],
135
- "source": [
136
- "from collections import defaultdict\n",
137
- "from datasets import Dataset, Features, Sequence\n",
138
- "import datasets\n",
139
- "from io import BytesIO\n",
140
- "\n",
141
- "cats_to_colours = { 1:('central-ring', (1,252,214)), \n",
142
- " 2:('other', (255,128,1)),\n",
143
- " 3:('read-out-streak', (20, 77, 158)), \n",
144
- " 4:('smoke-ring', (159,21,100)),\n",
145
- " 5:('star-loop', (255, 188, 248))}\n",
146
- "\n",
147
- "train_dataset=utils.df_to_dataset_dict(train_df, train_coco_data, cats_to_colours)\n",
148
- "valid_dataset=utils.df_to_dataset_dict(valid_df, valid_coco_data, cats_to_colours)"
149
- ]
150
- },
151
- {
152
- "cell_type": "code",
153
- "execution_count": 7,
154
- "id": "e3ed2ab1-8632-4e49-a661-c306554bd010",
155
- "metadata": {
156
- "scrolled": true
157
- },
158
- "outputs": [
159
- {
160
- "data": {
161
- "application/vnd.jupyter.widget-view+json": {
162
- "model_id": "6ebf9675899e4ffcbcb3ebebbe7d6147",
163
- "version_major": 2,
164
- "version_minor": 0
165
- },
166
- "text/plain": [
167
- "Uploading the dataset shards: 0%| | 0/1 [00:00<?, ?it/s]"
168
- ]
169
- },
170
- "metadata": {},
171
- "output_type": "display_data"
172
- },
173
- {
174
- "data": {
175
- "application/vnd.jupyter.widget-view+json": {
176
- "model_id": "2bf3a5fcfc914785b99bc6e6892531be",
177
- "version_major": 2,
178
- "version_minor": 0
179
- },
180
- "text/plain": [
181
- "Map: 0%| | 0/87 [00:00<?, ? examples/s]"
182
- ]
183
- },
184
- "metadata": {},
185
- "output_type": "display_data"
186
- },
187
- {
188
- "data": {
189
- "application/vnd.jupyter.widget-view+json": {
190
- "model_id": "871d1f3b21d242cf86e1d1f20295fa7d",
191
- "version_major": 2,
192
- "version_minor": 0
193
- },
194
- "text/plain": [
195
- "Creating parquet from Arrow format: 0%| | 0/1 [00:00<?, ?ba/s]"
196
- ]
197
- },
198
- "metadata": {},
199
- "output_type": "display_data"
200
- },
201
- {
202
- "data": {
203
- "application/vnd.jupyter.widget-view+json": {
204
- "model_id": "9376ea5e4c174f31827a0dd50a0af9b2",
205
- "version_major": 2,
206
- "version_minor": 0
207
- },
208
- "text/plain": [
209
- "Uploading the dataset shards: 0%| | 0/1 [00:00<?, ?it/s]"
210
- ]
211
- },
212
- "metadata": {},
213
- "output_type": "display_data"
214
- },
215
- {
216
- "data": {
217
- "application/vnd.jupyter.widget-view+json": {
218
- "model_id": "f5a6d9c4be554f4f937b1afd82f934b9",
219
- "version_major": 2,
220
- "version_minor": 0
221
- },
222
- "text/plain": [
223
- "Map: 0%| | 0/88 [00:00<?, ? examples/s]"
224
- ]
225
- },
226
- "metadata": {},
227
- "output_type": "display_data"
228
- },
229
- {
230
- "data": {
231
- "application/vnd.jupyter.widget-view+json": {
232
- "model_id": "c2a692042a7748f9adea02a38012bb4c",
233
- "version_major": 2,
234
- "version_minor": 0
235
- },
236
- "text/plain": [
237
- "Creating parquet from Arrow format: 0%| | 0/1 [00:00<?, ?ba/s]"
238
- ]
239
- },
240
- "metadata": {},
241
- "output_type": "display_data"
242
- },
243
- {
244
- "data": {
245
- "application/vnd.jupyter.widget-view+json": {
246
- "model_id": "e2d0aec5b6f14da889ebb4876d6a6cc3",
247
- "version_major": 2,
248
- "version_minor": 0
249
- },
250
- "text/plain": [
251
- "README.md: 0%| | 0.00/5.71k [00:00<?, ?B/s]"
252
- ]
253
- },
254
- "metadata": {},
255
- "output_type": "display_data"
256
- },
257
- {
258
- "data": {
259
- "text/plain": [
260
- "CommitInfo(commit_url='https://huggingface.co/datasets/iulia-elisa/XMM_OM_AI_dataset/commit/e4f969ebf7e6b84ece6a91380cbe2dd2fc669261', commit_message='Upload dataset', commit_description='', oid='e4f969ebf7e6b84ece6a91380cbe2dd2fc669261', pr_url=None, pr_revision=None, pr_num=None)"
261
- ]
262
- },
263
- "execution_count": 7,
264
- "metadata": {},
265
- "output_type": "execute_result"
266
- }
267
- ],
268
- "source": [
269
- "from datasets import DatasetDict\n",
270
- "\n",
271
- "dataset_dict = DatasetDict({\n",
272
- " 'train': train_dataset,\n",
273
- " 'valid': valid_dataset\n",
274
- "})\n",
275
- "\n",
276
- "dataset_dict.push_to_hub('iulia-elisa/XMM_OM_AI_dataset', private=False)"
277
- ]
278
- }
279
- ],
280
- "metadata": {
281
- "kernelspec": {
282
- "display_name": "env_py311",
283
- "language": "python",
284
- "name": "python3"
285
- },
286
- "language_info": {
287
- "codemirror_mode": {
288
- "name": "ipython",
289
- "version": 3
290
- },
291
- "file_extension": ".py",
292
- "mimetype": "text/x-python",
293
- "name": "python",
294
- "nbconvert_exporter": "python",
295
- "pygments_lexer": "ipython3",
296
- "version": "3.11.7"
297
- },
298
- "widgets": {
299
- "application/vnd.jupyter.widget-state+json": {
300
- "state": {
301
- "048f277744ff4c8f9fe447563d554654": {
302
- "model_module": "@jupyter-widgets/base",
303
- "model_module_version": "2.0.0",
304
- "model_name": "LayoutModel",
305
- "state": {}
306
- },
307
- "08cf7cea944a4322ae9b6ef361862bb4": {
308
- "model_module": "@jupyter-widgets/controls",
309
- "model_module_version": "2.0.0",
310
- "model_name": "HTMLModel",
311
- "state": {
312
- "layout": "IPY_MODEL_99548805c93d4e2bbccaf691aba88980",
313
- "style": "IPY_MODEL_23e0985cd92e4db1a9006cab93b41a35",
314
- "value": "Creating parquet from Arrow format: 100%"
315
- }
316
- },
317
- "0e36fda6f39745ef85e3846289e165eb": {
318
- "model_module": "@jupyter-widgets/base",
319
- "model_module_version": "2.0.0",
320
- "model_name": "LayoutModel",
321
- "state": {}
322
- },
323
- "0f6e7836683d40efa731e77aa6746fa5": {
324
- "model_module": "@jupyter-widgets/base",
325
- "model_module_version": "2.0.0",
326
- "model_name": "LayoutModel",
327
- "state": {}
328
- },
329
- "11970b4573344669adcfd5d9df924aea": {
330
- "model_module": "@jupyter-widgets/controls",
331
- "model_module_version": "2.0.0",
332
- "model_name": "FloatProgressModel",
333
- "state": {
334
- "bar_style": "success",
335
- "layout": "IPY_MODEL_e6ec6e37a6304a2590e81ec2b4a01e15",
336
- "max": 1,
337
- "style": "IPY_MODEL_a2c1ef897ce849d9a1f773724f617d40",
338
- "value": 1
339
- }
340
- },
341
- "1c7cfbd83be64f8eafa6d8ad98b08bc8": {
342
- "model_module": "@jupyter-widgets/controls",
343
- "model_module_version": "2.0.0",
344
- "model_name": "HTMLStyleModel",
345
- "state": {
346
- "description_width": "",
347
- "font_size": null,
348
- "text_color": null
349
- }
350
- },
351
- "1fa82ba064f548319607a027721117d8": {
352
- "model_module": "@jupyter-widgets/controls",
353
- "model_module_version": "2.0.0",
354
- "model_name": "HTMLModel",
355
- "state": {
356
- "layout": "IPY_MODEL_048f277744ff4c8f9fe447563d554654",
357
- "style": "IPY_MODEL_5874491ff76a470e9db86621e2e5d1a7",
358
- "value": " 1/1 [00:00&lt;00:00, 9.50ba/s]"
359
- }
360
- },
361
- "23640986547d47b3900f002fe5522f39": {
362
- "model_module": "@jupyter-widgets/base",
363
- "model_module_version": "2.0.0",
364
- "model_name": "LayoutModel",
365
- "state": {}
366
- },
367
- "23e0985cd92e4db1a9006cab93b41a35": {
368
- "model_module": "@jupyter-widgets/controls",
369
- "model_module_version": "2.0.0",
370
- "model_name": "HTMLStyleModel",
371
- "state": {
372
- "description_width": "",
373
- "font_size": null,
374
- "text_color": null
375
- }
376
- },
377
- "2bf3a5fcfc914785b99bc6e6892531be": {
378
- "model_module": "@jupyter-widgets/controls",
379
- "model_module_version": "2.0.0",
380
- "model_name": "HBoxModel",
381
- "state": {
382
- "children": [
383
- "IPY_MODEL_47be27d426034da9a97c49bae4626ddc",
384
- "IPY_MODEL_71f517a070b643b3a5b6ad86c3710f95",
385
- "IPY_MODEL_fb1c614683cf4531b6ac405a9373d74d"
386
- ],
387
- "layout": "IPY_MODEL_db5e0e8d61d742ef823112ebe06cd33b"
388
- }
389
- },
390
- "2d56d23ee7804546ab50c8ceaddd2d05": {
391
- "model_module": "@jupyter-widgets/controls",
392
- "model_module_version": "2.0.0",
393
- "model_name": "HTMLModel",
394
- "state": {
395
- "layout": "IPY_MODEL_0e36fda6f39745ef85e3846289e165eb",
396
- "style": "IPY_MODEL_a591c55a93f84703b8070bcf65e957e6",
397
- "value": "Map: 100%"
398
- }
399
- },
400
- "2f221cdc0bb44e23ab02f00a658801bf": {
401
- "model_module": "@jupyter-widgets/controls",
402
- "model_module_version": "2.0.0",
403
- "model_name": "FloatProgressModel",
404
- "state": {
405
- "bar_style": "success",
406
- "layout": "IPY_MODEL_e5f9516196b0461daf95817bb9408d7b",
407
- "max": 5714,
408
- "style": "IPY_MODEL_c38b2aa4bbd04b248b23de98a3fb3f04",
409
- "value": 5714
410
- }
411
- },
412
- "2f4e9a17492b430eb38dbf580a8f6112": {
413
- "model_module": "@jupyter-widgets/controls",
414
- "model_module_version": "2.0.0",
415
- "model_name": "HTMLModel",
416
- "state": {
417
- "layout": "IPY_MODEL_692de2a4a32e4c009f021c3c604ee245",
418
- "style": "IPY_MODEL_1c7cfbd83be64f8eafa6d8ad98b08bc8",
419
- "value": " 1/1 [00:02&lt;00:00, 2.68s/it]"
420
- }
421
- },
422
- "326fe11988d74d66b99b448cf2001714": {
423
- "model_module": "@jupyter-widgets/base",
424
- "model_module_version": "2.0.0",
425
- "model_name": "LayoutModel",
426
- "state": {}
427
- },
428
- "3723e0afbc944b679032254d2b9d543c": {
429
- "model_module": "@jupyter-widgets/base",
430
- "model_module_version": "2.0.0",
431
- "model_name": "LayoutModel",
432
- "state": {}
433
- },
434
- "38f0c8d251154e15ba2a621db92bbf89": {
435
- "model_module": "@jupyter-widgets/controls",
436
- "model_module_version": "2.0.0",
437
- "model_name": "HTMLStyleModel",
438
- "state": {
439
- "description_width": "",
440
- "font_size": null,
441
- "text_color": null
442
- }
443
- },
444
- "391d57117eb649beae65ed7a6a79a18b": {
445
- "model_module": "@jupyter-widgets/base",
446
- "model_module_version": "2.0.0",
447
- "model_name": "LayoutModel",
448
- "state": {}
449
- },
450
- "401d5cb498aa42ccbf4e7bc4aafacb11": {
451
- "model_module": "@jupyter-widgets/base",
452
- "model_module_version": "2.0.0",
453
- "model_name": "LayoutModel",
454
- "state": {}
455
- },
456
- "46cba72f63ef469b82a4b1a96fb796ee": {
457
- "model_module": "@jupyter-widgets/controls",
458
- "model_module_version": "2.0.0",
459
- "model_name": "HTMLStyleModel",
460
- "state": {
461
- "description_width": "",
462
- "font_size": null,
463
- "text_color": null
464
- }
465
- },
466
- "47be27d426034da9a97c49bae4626ddc": {
467
- "model_module": "@jupyter-widgets/controls",
468
- "model_module_version": "2.0.0",
469
- "model_name": "HTMLModel",
470
- "state": {
471
- "layout": "IPY_MODEL_911d271807e8414da96305fdd80796a7",
472
- "style": "IPY_MODEL_73726b2d576c4644acaf676b9b9ec34f",
473
- "value": "Map: 100%"
474
- }
475
- },
476
- "488243dfb6574985bcbf7e790134e744": {
477
- "model_module": "@jupyter-widgets/controls",
478
- "model_module_version": "2.0.0",
479
- "model_name": "ProgressStyleModel",
480
- "state": {
481
- "description_width": ""
482
- }
483
- },
484
- "4b35ce2957784c83a9444926b0a7e976": {
485
- "model_module": "@jupyter-widgets/controls",
486
- "model_module_version": "2.0.0",
487
- "model_name": "HTMLModel",
488
- "state": {
489
- "layout": "IPY_MODEL_b90c8d0425ac4bcca937ea6b545e48cd",
490
- "style": "IPY_MODEL_46cba72f63ef469b82a4b1a96fb796ee",
491
- "value": " 88/88 [00:00&lt;00:00, 819.47 examples/s]"
492
- }
493
- },
494
- "4f42920d671545ed8e0e7c5ceaedf8ed": {
495
- "model_module": "@jupyter-widgets/controls",
496
- "model_module_version": "2.0.0",
497
- "model_name": "HTMLStyleModel",
498
- "state": {
499
- "description_width": "",
500
- "font_size": null,
501
- "text_color": null
502
- }
503
- },
504
- "52dfe57cd5b44d62889af8a4df9467e1": {
505
- "model_module": "@jupyter-widgets/controls",
506
- "model_module_version": "2.0.0",
507
- "model_name": "ProgressStyleModel",
508
- "state": {
509
- "description_width": ""
510
- }
511
- },
512
- "5874491ff76a470e9db86621e2e5d1a7": {
513
- "model_module": "@jupyter-widgets/controls",
514
- "model_module_version": "2.0.0",
515
- "model_name": "HTMLStyleModel",
516
- "state": {
517
- "description_width": "",
518
- "font_size": null,
519
- "text_color": null
520
- }
521
- },
522
- "59ca0f5d7fff4b52a7051b923253c66f": {
523
- "model_module": "@jupyter-widgets/base",
524
- "model_module_version": "2.0.0",
525
- "model_name": "LayoutModel",
526
- "state": {}
527
- },
528
- "5d9126ed84e347379beddb410cda4381": {
529
- "model_module": "@jupyter-widgets/base",
530
- "model_module_version": "2.0.0",
531
- "model_name": "LayoutModel",
532
- "state": {}
533
- },
534
- "657e2016f007499cafa8ea389a461201": {
535
- "model_module": "@jupyter-widgets/controls",
536
- "model_module_version": "2.0.0",
537
- "model_name": "HTMLStyleModel",
538
- "state": {
539
- "description_width": "",
540
- "font_size": null,
541
- "text_color": null
542
- }
543
- },
544
- "68409dd4c6a042899d8f32b8d426bd6c": {
545
- "model_module": "@jupyter-widgets/controls",
546
- "model_module_version": "2.0.0",
547
- "model_name": "FloatProgressModel",
548
- "state": {
549
- "bar_style": "success",
550
- "layout": "IPY_MODEL_5d9126ed84e347379beddb410cda4381",
551
- "max": 1,
552
- "style": "IPY_MODEL_e7c643f02df04f39a6232d4ef37dbe53",
553
- "value": 1
554
- }
555
- },
556
- "692de2a4a32e4c009f021c3c604ee245": {
557
- "model_module": "@jupyter-widgets/base",
558
- "model_module_version": "2.0.0",
559
- "model_name": "LayoutModel",
560
- "state": {}
561
- },
562
- "6ebf9675899e4ffcbcb3ebebbe7d6147": {
563
- "model_module": "@jupyter-widgets/controls",
564
- "model_module_version": "2.0.0",
565
- "model_name": "HBoxModel",
566
- "state": {
567
- "children": [
568
- "IPY_MODEL_d753a4db07294b83a86784bfc211dcaf",
569
- "IPY_MODEL_68409dd4c6a042899d8f32b8d426bd6c",
570
- "IPY_MODEL_a056610c2b23491aba3f37c38f0ad8c5"
571
- ],
572
- "layout": "IPY_MODEL_920bced53c3d42099f1a87eed19ce05e"
573
- }
574
- },
575
- "71f517a070b643b3a5b6ad86c3710f95": {
576
- "model_module": "@jupyter-widgets/controls",
577
- "model_module_version": "2.0.0",
578
- "model_name": "FloatProgressModel",
579
- "state": {
580
- "bar_style": "success",
581
- "layout": "IPY_MODEL_dc80b5c47d4c4f9faab022f05b691228",
582
- "max": 87,
583
- "style": "IPY_MODEL_b9fb72eff10047289a9597d08009af95",
584
- "value": 87
585
- }
586
- },
587
- "73391c6e41d4483e93582af7934d1e54": {
588
- "model_module": "@jupyter-widgets/controls",
589
- "model_module_version": "2.0.0",
590
- "model_name": "HTMLModel",
591
- "state": {
592
- "layout": "IPY_MODEL_e813397704674d81b3fe6dd3ce444e95",
593
- "style": "IPY_MODEL_eaf483365e224158aad8fd8f604ac64b",
594
- "value": "Uploading the dataset shards: 100%"
595
- }
596
- },
597
- "73726b2d576c4644acaf676b9b9ec34f": {
598
- "model_module": "@jupyter-widgets/controls",
599
- "model_module_version": "2.0.0",
600
- "model_name": "HTMLStyleModel",
601
- "state": {
602
- "description_width": "",
603
- "font_size": null,
604
- "text_color": null
605
- }
606
- },
607
- "76f47b25344e4f1db6549e268af826ba": {
608
- "model_module": "@jupyter-widgets/controls",
609
- "model_module_version": "2.0.0",
610
- "model_name": "HTMLModel",
611
- "state": {
612
- "layout": "IPY_MODEL_d45797a1fbc54c7cb7b5a863972fb4b1",
613
- "style": "IPY_MODEL_cbad9576bda8439d8fa5ae8391b31ff9",
614
- "value": " 5.71k/5.71k [00:00&lt;00:00, 1.12MB/s]"
615
- }
616
- },
617
- "7d6080218e2a4888bdfd0c184b7c5ffc": {
618
- "model_module": "@jupyter-widgets/base",
619
- "model_module_version": "2.0.0",
620
- "model_name": "LayoutModel",
621
- "state": {}
622
- },
623
- "842b6cc23bcc485ba3d034f5f955f314": {
624
- "model_module": "@jupyter-widgets/base",
625
- "model_module_version": "2.0.0",
626
- "model_name": "LayoutModel",
627
- "state": {}
628
- },
629
- "871d1f3b21d242cf86e1d1f20295fa7d": {
630
- "model_module": "@jupyter-widgets/controls",
631
- "model_module_version": "2.0.0",
632
- "model_name": "HBoxModel",
633
- "state": {
634
- "children": [
635
- "IPY_MODEL_afbc23b673314807bd81dcc9bcf3e3df",
636
- "IPY_MODEL_e5d66c90b5a842de84296f97abbdaae9",
637
- "IPY_MODEL_1fa82ba064f548319607a027721117d8"
638
- ],
639
- "layout": "IPY_MODEL_0f6e7836683d40efa731e77aa6746fa5"
640
- }
641
- },
642
- "911d271807e8414da96305fdd80796a7": {
643
- "model_module": "@jupyter-widgets/base",
644
- "model_module_version": "2.0.0",
645
- "model_name": "LayoutModel",
646
- "state": {}
647
- },
648
- "920bced53c3d42099f1a87eed19ce05e": {
649
- "model_module": "@jupyter-widgets/base",
650
- "model_module_version": "2.0.0",
651
- "model_name": "LayoutModel",
652
- "state": {}
653
- },
654
- "9376ea5e4c174f31827a0dd50a0af9b2": {
655
- "model_module": "@jupyter-widgets/controls",
656
- "model_module_version": "2.0.0",
657
- "model_name": "HBoxModel",
658
- "state": {
659
- "children": [
660
- "IPY_MODEL_73391c6e41d4483e93582af7934d1e54",
661
- "IPY_MODEL_acf8c82fec8f4360877e2f1ad3d41e74",
662
- "IPY_MODEL_2f4e9a17492b430eb38dbf580a8f6112"
663
- ],
664
- "layout": "IPY_MODEL_ca406b13430643bdab8a048bdf35dd75"
665
- }
666
- },
667
- "93b9ea63c9ee44cbbe4a266b83a86083": {
668
- "model_module": "@jupyter-widgets/controls",
669
- "model_module_version": "2.0.0",
670
- "model_name": "HTMLModel",
671
- "state": {
672
- "layout": "IPY_MODEL_391d57117eb649beae65ed7a6a79a18b",
673
- "style": "IPY_MODEL_657e2016f007499cafa8ea389a461201",
674
- "value": "README.md: 100%"
675
- }
676
- },
677
- "99133f4e57fe4309b610cdb4ce2a90bd": {
678
- "model_module": "@jupyter-widgets/base",
679
- "model_module_version": "2.0.0",
680
- "model_name": "LayoutModel",
681
- "state": {}
682
- },
683
- "99548805c93d4e2bbccaf691aba88980": {
684
- "model_module": "@jupyter-widgets/base",
685
- "model_module_version": "2.0.0",
686
- "model_name": "LayoutModel",
687
- "state": {}
688
- },
689
- "9b8ccb3e67354701a09c2a18ace98ad6": {
690
- "model_module": "@jupyter-widgets/controls",
691
- "model_module_version": "2.0.0",
692
- "model_name": "HTMLStyleModel",
693
- "state": {
694
- "description_width": "",
695
- "font_size": null,
696
- "text_color": null
697
- }
698
- },
699
- "a056610c2b23491aba3f37c38f0ad8c5": {
700
- "model_module": "@jupyter-widgets/controls",
701
- "model_module_version": "2.0.0",
702
- "model_name": "HTMLModel",
703
- "state": {
704
- "layout": "IPY_MODEL_3723e0afbc944b679032254d2b9d543c",
705
- "style": "IPY_MODEL_9b8ccb3e67354701a09c2a18ace98ad6",
706
- "value": " 1/1 [00:04&lt;00:00, 4.22s/it]"
707
- }
708
- },
709
- "a2c1ef897ce849d9a1f773724f617d40": {
710
- "model_module": "@jupyter-widgets/controls",
711
- "model_module_version": "2.0.0",
712
- "model_name": "ProgressStyleModel",
713
- "state": {
714
- "description_width": ""
715
- }
716
- },
717
- "a33667021736405b82666b555a5493a8": {
718
- "model_module": "@jupyter-widgets/controls",
719
- "model_module_version": "2.0.0",
720
- "model_name": "HTMLStyleModel",
721
- "state": {
722
- "description_width": "",
723
- "font_size": null,
724
- "text_color": null
725
- }
726
- },
727
- "a39e3942259747fd9c7759cbbba73d3d": {
728
- "model_module": "@jupyter-widgets/controls",
729
- "model_module_version": "2.0.0",
730
- "model_name": "FloatProgressModel",
731
- "state": {
732
- "bar_style": "success",
733
- "layout": "IPY_MODEL_401d5cb498aa42ccbf4e7bc4aafacb11",
734
- "max": 88,
735
- "style": "IPY_MODEL_488243dfb6574985bcbf7e790134e744",
736
- "value": 88
737
- }
738
- },
739
- "a591c55a93f84703b8070bcf65e957e6": {
740
- "model_module": "@jupyter-widgets/controls",
741
- "model_module_version": "2.0.0",
742
- "model_name": "HTMLStyleModel",
743
- "state": {
744
- "description_width": "",
745
- "font_size": null,
746
- "text_color": null
747
- }
748
- },
749
- "abc65776f8504948b9e91ea432ebe8ef": {
750
- "model_module": "@jupyter-widgets/base",
751
- "model_module_version": "2.0.0",
752
- "model_name": "LayoutModel",
753
- "state": {}
754
- },
755
- "acf8c82fec8f4360877e2f1ad3d41e74": {
756
- "model_module": "@jupyter-widgets/controls",
757
- "model_module_version": "2.0.0",
758
- "model_name": "FloatProgressModel",
759
- "state": {
760
- "bar_style": "success",
761
- "layout": "IPY_MODEL_59ca0f5d7fff4b52a7051b923253c66f",
762
- "max": 1,
763
- "style": "IPY_MODEL_52dfe57cd5b44d62889af8a4df9467e1",
764
- "value": 1
765
- }
766
- },
767
- "afbc23b673314807bd81dcc9bcf3e3df": {
768
- "model_module": "@jupyter-widgets/controls",
769
- "model_module_version": "2.0.0",
770
- "model_name": "HTMLModel",
771
- "state": {
772
- "layout": "IPY_MODEL_f8cd90e4cb13496780c19d3a482fb43f",
773
- "style": "IPY_MODEL_4f42920d671545ed8e0e7c5ceaedf8ed",
774
- "value": "Creating parquet from Arrow format: 100%"
775
- }
776
- },
777
- "b90c8d0425ac4bcca937ea6b545e48cd": {
778
- "model_module": "@jupyter-widgets/base",
779
- "model_module_version": "2.0.0",
780
- "model_name": "LayoutModel",
781
- "state": {}
782
- },
783
- "b9fb72eff10047289a9597d08009af95": {
784
- "model_module": "@jupyter-widgets/controls",
785
- "model_module_version": "2.0.0",
786
- "model_name": "ProgressStyleModel",
787
- "state": {
788
- "description_width": ""
789
- }
790
- },
791
- "c2a692042a7748f9adea02a38012bb4c": {
792
- "model_module": "@jupyter-widgets/controls",
793
- "model_module_version": "2.0.0",
794
- "model_name": "HBoxModel",
795
- "state": {
796
- "children": [
797
- "IPY_MODEL_08cf7cea944a4322ae9b6ef361862bb4",
798
- "IPY_MODEL_11970b4573344669adcfd5d9df924aea",
799
- "IPY_MODEL_fe70cc023aa049e0ba921c8eb1c65646"
800
- ],
801
- "layout": "IPY_MODEL_23640986547d47b3900f002fe5522f39"
802
- }
803
- },
804
- "c38b2aa4bbd04b248b23de98a3fb3f04": {
805
- "model_module": "@jupyter-widgets/controls",
806
- "model_module_version": "2.0.0",
807
- "model_name": "ProgressStyleModel",
808
- "state": {
809
- "description_width": ""
810
- }
811
- },
812
- "c827c4d520c342a1bcb54966869a6edc": {
813
- "model_module": "@jupyter-widgets/controls",
814
- "model_module_version": "2.0.0",
815
- "model_name": "HTMLStyleModel",
816
- "state": {
817
- "description_width": "",
818
- "font_size": null,
819
- "text_color": null
820
- }
821
- },
822
- "ca406b13430643bdab8a048bdf35dd75": {
823
- "model_module": "@jupyter-widgets/base",
824
- "model_module_version": "2.0.0",
825
- "model_name": "LayoutModel",
826
- "state": {}
827
- },
828
- "cbad9576bda8439d8fa5ae8391b31ff9": {
829
- "model_module": "@jupyter-widgets/controls",
830
- "model_module_version": "2.0.0",
831
- "model_name": "HTMLStyleModel",
832
- "state": {
833
- "description_width": "",
834
- "font_size": null,
835
- "text_color": null
836
- }
837
- },
838
- "d45797a1fbc54c7cb7b5a863972fb4b1": {
839
- "model_module": "@jupyter-widgets/base",
840
- "model_module_version": "2.0.0",
841
- "model_name": "LayoutModel",
842
- "state": {}
843
- },
844
- "d753a4db07294b83a86784bfc211dcaf": {
845
- "model_module": "@jupyter-widgets/controls",
846
- "model_module_version": "2.0.0",
847
- "model_name": "HTMLModel",
848
- "state": {
849
- "layout": "IPY_MODEL_326fe11988d74d66b99b448cf2001714",
850
- "style": "IPY_MODEL_a33667021736405b82666b555a5493a8",
851
- "value": "Uploading the dataset shards: 100%"
852
- }
853
- },
854
- "db5e0e8d61d742ef823112ebe06cd33b": {
855
- "model_module": "@jupyter-widgets/base",
856
- "model_module_version": "2.0.0",
857
- "model_name": "LayoutModel",
858
- "state": {}
859
- },
860
- "dc80b5c47d4c4f9faab022f05b691228": {
861
- "model_module": "@jupyter-widgets/base",
862
- "model_module_version": "2.0.0",
863
- "model_name": "LayoutModel",
864
- "state": {}
865
- },
866
- "e2d0aec5b6f14da889ebb4876d6a6cc3": {
867
- "model_module": "@jupyter-widgets/controls",
868
- "model_module_version": "2.0.0",
869
- "model_name": "HBoxModel",
870
- "state": {
871
- "children": [
872
- "IPY_MODEL_93b9ea63c9ee44cbbe4a266b83a86083",
873
- "IPY_MODEL_2f221cdc0bb44e23ab02f00a658801bf",
874
- "IPY_MODEL_76f47b25344e4f1db6549e268af826ba"
875
- ],
876
- "layout": "IPY_MODEL_f91d0f2d7018430fb1f6f9fef6d4bcb8"
877
- }
878
- },
879
- "e5d66c90b5a842de84296f97abbdaae9": {
880
- "model_module": "@jupyter-widgets/controls",
881
- "model_module_version": "2.0.0",
882
- "model_name": "FloatProgressModel",
883
- "state": {
884
- "bar_style": "success",
885
- "layout": "IPY_MODEL_7d6080218e2a4888bdfd0c184b7c5ffc",
886
- "max": 1,
887
- "style": "IPY_MODEL_ea8839476ee147bcbdbd484c04e1e829",
888
- "value": 1
889
- }
890
- },
891
- "e5f9516196b0461daf95817bb9408d7b": {
892
- "model_module": "@jupyter-widgets/base",
893
- "model_module_version": "2.0.0",
894
- "model_name": "LayoutModel",
895
- "state": {}
896
- },
897
- "e6ec6e37a6304a2590e81ec2b4a01e15": {
898
- "model_module": "@jupyter-widgets/base",
899
- "model_module_version": "2.0.0",
900
- "model_name": "LayoutModel",
901
- "state": {}
902
- },
903
- "e7c643f02df04f39a6232d4ef37dbe53": {
904
- "model_module": "@jupyter-widgets/controls",
905
- "model_module_version": "2.0.0",
906
- "model_name": "ProgressStyleModel",
907
- "state": {
908
- "description_width": ""
909
- }
910
- },
911
- "e813397704674d81b3fe6dd3ce444e95": {
912
- "model_module": "@jupyter-widgets/base",
913
- "model_module_version": "2.0.0",
914
- "model_name": "LayoutModel",
915
- "state": {}
916
- },
917
- "ea8839476ee147bcbdbd484c04e1e829": {
918
- "model_module": "@jupyter-widgets/controls",
919
- "model_module_version": "2.0.0",
920
- "model_name": "ProgressStyleModel",
921
- "state": {
922
- "description_width": ""
923
- }
924
- },
925
- "eaf483365e224158aad8fd8f604ac64b": {
926
- "model_module": "@jupyter-widgets/controls",
927
- "model_module_version": "2.0.0",
928
- "model_name": "HTMLStyleModel",
929
- "state": {
930
- "description_width": "",
931
- "font_size": null,
932
- "text_color": null
933
- }
934
- },
935
- "f5a6d9c4be554f4f937b1afd82f934b9": {
936
- "model_module": "@jupyter-widgets/controls",
937
- "model_module_version": "2.0.0",
938
- "model_name": "HBoxModel",
939
- "state": {
940
- "children": [
941
- "IPY_MODEL_2d56d23ee7804546ab50c8ceaddd2d05",
942
- "IPY_MODEL_a39e3942259747fd9c7759cbbba73d3d",
943
- "IPY_MODEL_4b35ce2957784c83a9444926b0a7e976"
944
- ],
945
- "layout": "IPY_MODEL_abc65776f8504948b9e91ea432ebe8ef"
946
- }
947
- },
948
- "f8cd90e4cb13496780c19d3a482fb43f": {
949
- "model_module": "@jupyter-widgets/base",
950
- "model_module_version": "2.0.0",
951
- "model_name": "LayoutModel",
952
- "state": {}
953
- },
954
- "f91d0f2d7018430fb1f6f9fef6d4bcb8": {
955
- "model_module": "@jupyter-widgets/base",
956
- "model_module_version": "2.0.0",
957
- "model_name": "LayoutModel",
958
- "state": {}
959
- },
960
- "fb1c614683cf4531b6ac405a9373d74d": {
961
- "model_module": "@jupyter-widgets/controls",
962
- "model_module_version": "2.0.0",
963
- "model_name": "HTMLModel",
964
- "state": {
965
- "layout": "IPY_MODEL_842b6cc23bcc485ba3d034f5f955f314",
966
- "style": "IPY_MODEL_c827c4d520c342a1bcb54966869a6edc",
967
- "value": " 87/87 [00:00&lt;00:00, 1110.37 examples/s]"
968
- }
969
- },
970
- "fe70cc023aa049e0ba921c8eb1c65646": {
971
- "model_module": "@jupyter-widgets/controls",
972
- "model_module_version": "2.0.0",
973
- "model_name": "HTMLModel",
974
- "state": {
975
- "layout": "IPY_MODEL_99133f4e57fe4309b610cdb4ce2a90bd",
976
- "style": "IPY_MODEL_38f0c8d251154e15ba2a621db92bbf89",
977
- "value": " 1/1 [00:00&lt;00:00, 6.98ba/s]"
978
- }
979
- }
980
- },
981
- "version_major": 2,
982
- "version_minor": 0
983
- }
984
- }
985
- },
986
- "nbformat": 4,
987
- "nbformat_minor": 5
988
- }