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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    IndexError
Message:      list index out of range
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1811, in _prepare_split_single
                  original_shard_lengths[original_shard_id] += len(table)
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
              IndexError: list index out of range
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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a_1
float32
a_2
float32
chirp_mass
float32
dec
float32
distance
float32
inclination
float32
mass_1
float32
mass_2
float32
mass_ratio
float32
phi
float32
phi_12
float32
phi_jl
float32
phic
float32
psi
float32
s1x
float32
s1y
float32
s1z
float32
s2x
float32
s2y
float32
s2z
float32
snr
float32
tilt_1
float32
tilt_2
float32
whitened_bkg
array 2D
whitened_injected
array 2D
whitened_signal
array 2D
0.132638
0.212598
1.476183
0.440216
694.887573
2.280191
2.335073
1.254969
0.537443
-1.775144
5.953039
0.403361
4.037373
2.853332
0.120349
0.05136
0.021703
0.147711
0.133125
-0.075212
11.220628
1.406429
1.932402
[[0.5108880538651458,-0.47651083522487014,-0.31207012392851186,-0.04660678774945981,0.19580924185522(...TRUNCATED)
[[0.5231142049577889,-0.4740286709518906,-0.3099992869563174,-0.045210956977267354,0.196248839565143(...TRUNCATED)
[[0.012111886547223685,0.0024845281082506096,0.0020715929507103457,0.0013962815292797815,0.000438950(...TRUNCATED)
0.014281
0.383475
1.886027
-0.239368
814.183289
1.554106
2.210183
2.123803
0.960917
-1.025218
0.665693
6.281428
6.028352
2.547857
0.012859
-0.000023
-0.006213
0.224465
-0.176904
-0.255682
12.462122
2.020871
2.300636
[[-0.42334735280668756,0.07345079832356109,-0.1585301175102272,0.018150542151466727,-0.2291691968021(...TRUNCATED)
[[-0.402928563780769,0.07647090138222057,-0.1578304337230037,0.018050963765232495,-0.229500035139664(...TRUNCATED)
[[0.020498005534614255,0.003017056289381034,0.0007001588870790571,-0.00009800748984697289,-0.0003325(...TRUNCATED)
0.256894
0.04948
1.61549
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970.483215
1.311422
2.260245
1.534959
0.679112
0.212646
1.864316
2.430209
1.505919
2.200867
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0.125957
0.169631
0.021748
0.013814
0.042243
12.113312
0.849559
0.547675
[[0.5665224202274873,0.03597173186093768,0.09746331650601193,0.14616306867471182,-0.253655749550361,(...TRUNCATED)
[[0.5659381692920017,0.03490227328154931,0.09541330159681029,0.15057429888656876,-0.2497453246319728(...TRUNCATED)
[[-0.0007099313695994291,-0.0010663080359196147,-0.002048561818766557,0.004410047200299345,0.0039098(...TRUNCATED)
0.03257
0.151314
1.332667
0.258392
907.442749
2.235384
1.634382
1.435055
0.878042
0.342371
1.385909
3.813955
1.668176
1.315749
-0.019596
-0.015601
0.020818
-0.084723
0.073346
0.101677
12.69169
0.877369
0.833945
[[-1.251544117638249,0.10098490950102347,0.030766283227287035,-0.11846407026248132,0.432213509447886(...TRUNCATED)
[[-1.2532487108606971,0.10259120560647035,0.033343054042583614,-0.11991083631334422,0.42909295430293(...TRUNCATED)
[[-0.0016575319401292694,0.0016044133193437095,0.0025774177534775796,-0.0014466628085057186,-0.00312(...TRUNCATED)
0.373605
0.163436
1.689224
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934.636719
1.812189
2.46042
1.54673
0.628645
0.51651
1.411628
4.844299
2.687889
2.132041
0.027368
-0.206266
0.3103
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-0.036347
0.103298
11.275496
0.59069
0.886611
[[-0.9451473918793599,-0.010154334666425851,-0.03130436460620256,-0.05956653843705813,0.026939975579(...TRUNCATED)
[[-0.9448960404649935,-0.010713043172117494,-0.031981808593155844,-0.06068782456977415,0.02950181275(...TRUNCATED)
[[0.00004458375747419148,-0.0005531690069304632,-0.0006741621028094778,-0.001122362771532646,0.00255(...TRUNCATED)
0.228106
0.340577
1.310226
0.102883
606.432068
0.873127
1.611998
1.406513
0.872528
-0.554062
5.477046
5.476353
3.30203
0.873803
0.145616
-0.151996
-0.087896
0.260237
-0.000181
-0.219703
11.545363
1.966361
2.271937
[[0.928858090799905,-0.19433427762304312,0.09615794545177847,0.27092492089295084,0.24371138895977706(...TRUNCATED)
[[0.9228856400827439,-0.19592318677778356,0.09486439359339208,0.27036071455179966,0.2440101661149028(...TRUNCATED)
[[-0.00607008913943698,-0.001590661728062555,-0.0012962453942596103,-0.00056233180790942,0.000303117(...TRUNCATED)
0.16326
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0.963337
893.692139
2.159919
1.801761
1.787439
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0.327613
0.960607
3.069793
0.12302
0.04181
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14.45129
2.221182
2.941541
[[-1.6371117911760338,0.2533690397849764,-0.1926435936009726,-0.08498662225352203,-0.174275751059941(...TRUNCATED)
[[-1.655611405228846,0.24995592821410162,-0.19510987374321356,-0.08654308637805225,-0.17475460010407(...TRUNCATED)
[[-0.018530100613245767,-0.0034130609585147492,-0.002465104604546704,-0.0015563478291564302,-0.00047(...TRUNCATED)
0.176649
0.087061
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1.200544
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0.954407
2.159362
1.275607
0.590733
0.225789
4.809042
2.57957
3.348222
1.60893
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0.074342
0.108366
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-0.068708
-0.005553
11.511329
0.910368
1.634617
[[-0.05906546787115546,-0.1578955978829909,0.19486455101166614,0.04735822612665856,-0.11164285808723(...TRUNCATED)
[[-0.0373178887380724,-0.1532120197936032,0.19696549645956918,0.047642125228227195,-0.11280314214476(...TRUNCATED)
[[0.021705662912164744,0.0046848606497519926,0.0021009312793212626,0.0002833554955397278,-0.00116034(...TRUNCATED)
0.350441
0.31102
1.601859
0.196206
649.574341
2.266205
2.028328
1.67236
0.824502
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2.586654
1.396045
3.119108
2.918881
0.034879
0.197556
0.28734
0.111531
-0.279086
-0.08003
14.235178
0.609493
1.831039
[[-1.4370049241295024,-0.32183395970277046,0.07884177025867768,-0.023059451606906693,-0.135956798767(...TRUNCATED)
[[-1.4395669576032024,-0.32193690615072307,0.08033539833375343,-0.021341303101032678,-0.134572542451(...TRUNCATED)
[[-0.0025563014233071393,-0.00010185691891051266,0.0014909226205316456,0.001721398413998949,0.001383(...TRUNCATED)
0.050068
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1.478567
1.110939
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2.388863
2.008337
1.444137
0.719071
1.630054
2.751683
3.808259
4.741426
2.198338
-0.014778
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0.046403
0.13659
0.24179
-0.187971
10.266898
0.385007
2.165835
[[-1.0085911678869346,-0.3139898766747979,-0.0867876532708081,0.012932721741354776,-0.05387678981226(...TRUNCATED)
[[-1.0137946608575312,-0.31384719124066557,-0.0847058162793768,0.015096833868175775,-0.0524856914764(...TRUNCATED)
[[-0.005185916565675295,0.00013910455745910118,0.002083269725772033,0.002167080430832048,0.001391153(...TRUNCATED)
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