Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
val/tudf_l1: double
val/tudf_l1_median: double
val/surface_iou: double
val/surface_iou_median: double
val/n_samples: int64
val/occ_iou: double
val/occ_iou_median: double
val/avg_active_voxels: double
val/avg_active_voxels_median: double
val/cd: double
val/cd_median: double
val/n_pcd_samples: int64
val/f_score_0.1: double
val/f_score_0.1_median: double
val/f_score_0.05: double
val/f_score_0.05_median: double
val/f_score_0.02: double
val/f_score_0.02_median: double
to
{'name': Value('string'), 'tudf_l1': Value('float64'), 'surf_iou': Value('float64'), 'cd': Value('float64'), 'f_score_0.1': Value('float64'), 'f_score_0.05': Value('float64'), 'f_score_0.02': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 783, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              val/tudf_l1: double
              val/tudf_l1_median: double
              val/surface_iou: double
              val/surface_iou_median: double
              val/n_samples: int64
              val/occ_iou: double
              val/occ_iou_median: double
              val/avg_active_voxels: double
              val/avg_active_voxels_median: double
              val/cd: double
              val/cd_median: double
              val/n_pcd_samples: int64
              val/f_score_0.1: double
              val/f_score_0.1_median: double
              val/f_score_0.05: double
              val/f_score_0.05_median: double
              val/f_score_0.02: double
              val/f_score_0.02_median: double
              to
              {'name': Value('string'), 'tudf_l1': Value('float64'), 'surf_iou': Value('float64'), 'cd': Value('float64'), 'f_score_0.1': Value('float64'), 'f_score_0.05': Value('float64'), 'f_score_0.02': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 18 new columns ({'val/f_score_0.02', 'val/avg_active_voxels', 'val/surface_iou', 'val/tudf_l1', 'val/avg_active_voxels_median', 'val/cd_median', 'val/surface_iou_median', 'val/tudf_l1_median', 'val/cd', 'val/f_score_0.05_median', 'val/n_pcd_samples', 'val/n_samples', 'val/f_score_0.1_median', 'val/f_score_0.02_median', 'val/occ_iou', 'val/f_score_0.1', 'val/occ_iou_median', 'val/f_score_0.05'}) and 7 missing columns ({'f_score_0.1', 'tudf_l1', 'f_score_0.05', 'name', 'surf_iou', 'f_score_0.02', 'cd'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/TuanNgo/VolFill/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_vkitti_16x_add_dino_moge_scannetpp_val_tiny/per_sample.json (at revision 6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98), ['hf://datasets/TuanNgo/VolFill@6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_16x_add_scannetpp_val_tiny/per_sample.json', 'hf://datasets/TuanNgo/VolFill@6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_16x_add_scannetpp_val_tiny/summary.json', 'hf://datasets/TuanNgo/VolFill@6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_vkitti_16x_add_dino_moge_scannetpp_val_tiny/per_sample.json', 'hf://datasets/TuanNgo/VolFill@6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_vkitti_16x_add_dino_moge_scannetpp_val_tiny/summary.json'], ['hf://datasets/TuanNgo/VolFill@6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_16x_add_scannetpp_val_tiny/per_sample.json', 'hf://datasets/TuanNgo/VolFill@6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_16x_add_scannetpp_val_tiny/summary.json', 'hf://datasets/TuanNgo/VolFill@6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_vkitti_16x_add_dino_moge_scannetpp_val_tiny/per_sample.json', 'hf://datasets/TuanNgo/VolFill@6fa2fe99e1ebfd2d9ec9c76f6b86279c05faed98/results/eval_latent_flow_visible/visible_flow_trellis_scannetpp_3dfront_hypersim_vkitti_16x_add_dino_moge_scannetpp_val_tiny/summary.json']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1868, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 803, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              val/tudf_l1: double
              val/tudf_l1_median: double
              val/surface_iou: double
              val/surface_iou_median: double
              val/n_samples: int64
              val/occ_iou: double
              val/occ_iou_median: double
              val/avg_active_voxels: double
              val/avg_active_voxels_median: double
              val/cd: double
              val/cd_median: double
              val/n_pcd_samples: int64
              val/f_score_0.1: double
              val/f_score_0.1_median: double
              val/f_score_0.05: double
              val/f_score_0.05_median: double
              val/f_score_0.02: double
              val/f_score_0.02_median: double
              to
              {'name': Value('string'), 'tudf_l1': Value('float64'), 'surf_iou': Value('float64'), 'cd': Value('float64'), 'f_score_0.1': Value('float64'), 'f_score_0.05': Value('float64'), 'f_score_0.02': Value('float64')}
              because column names don't match
              
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, 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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

name
string
tudf_l1
float64
surf_iou
float64
cd
float64
f_score_0.1
float64
f_score_0.05
float64
f_score_0.02
float64
086f09d6e3/DSC06573
0.036397
0.26765
0.025805
0.980916
0.83586
0.553352
086f09d6e3/DSC07044
0.068945
0.226213
0.033463
0.913619
0.786025
0.478452
086f09d6e3/DSC07345
0.07261
0.174683
0.056162
0.863875
0.614608
0.13159
0b0bb941b7/7458f003_DSC01101
0.027312
0.217379
0.016976
0.996014
0.925687
0.748954
0b0bb941b7/7458f003_DSC01441
0.048598
0.302755
0.031313
0.942878
0.825403
0.512813
0caa1ae59a/DSC06878
0.03949
0.196149
0.036662
0.900066
0.740357
0.455854
0caa1ae59a/DSC06992
0.025666
0.326162
0.012072
0.988595
0.969837
0.830412
182932a4f3/e91a2fa5_DSC03016
0.040384
0.255587
0.04706
0.880878
0.661542
0.37134
182932a4f3/e91a2fa5_DSC03136
0.105831
0.070554
0.102686
0.723481
0.482064
0.312756
182932a4f3/e91a2fa5_DSC03606
0.03155
0.414005
0.017333
0.984172
0.930092
0.768507
182932a4f3/e91a2fa5_DSC03726
0.11015
0.062569
0.119714
0.399968
0.148498
0.051791
182932a4f3/e91a2fa5_DSC03806
0.076943
0.071474
0.096863
0.657203
0.319712
0.058294
182932a4f3/e91a2fa5_DSC03836
0.089221
0.093475
0.080486
0.704342
0.45712
0.169415
182932a4f3/e91a2fa5_DSC04776
0.030486
0.276763
0.017186
0.981678
0.938311
0.707808
182932a4f3/e91a2fa5_DSC04926
0.035658
0.312002
0.023985
0.953861
0.844178
0.651803
182932a4f3/e91a2fa5_DSC05006
0.022773
0.283172
0.019965
0.969267
0.892567
0.70433
1b75758486/DSC09588
0.060639
0.030782
0.083226
0.630271
0.442767
0.237324
1c7a683c92/DSC00839
0.04377
0.383567
0.025341
0.932941
0.830943
0.667934
1c7a683c92/DSC01009
0.093837
0.125254
0.045726
0.897372
0.802723
0.21602
1c7a683c92/DSC01099
0.030937
0.354092
0.016823
0.987077
0.920305
0.772634
1c7a683c92/DSC01339
0.030221
0.327579
0.031629
0.930081
0.801015
0.525612
2284bf5c9d/DSC08119
0.087961
0.187806
0.062058
0.764439
0.621314
0.333765
2284bf5c9d/DSC08149
0.028489
0.352915
0.021198
0.953647
0.87403
0.669402
2284bf5c9d/DSC08309
0.025445
0.306911
0.017602
0.98947
0.92334
0.771574
2284bf5c9d/DSC08449
0.026478
0.290672
0.028873
0.937371
0.806858
0.563056
2284bf5c9d/DSC08619
0.013094
0.396966
0.014768
0.989806
0.923961
0.760811
2284bf5c9d/DSC08633
0.013282
0.469518
0.016711
0.993011
0.919591
0.70059
260fa55d50/DSC09540
0.054461
0.235617
0.016611
0.991681
0.95066
0.775984
260fa55d50/DSC09640
0.028759
0.413324
0.011026
0.997408
0.974205
0.8837
281bc17764/DSC03733
0.048541
0.125502
0.03615
0.91633
0.731204
0.442383
281bc17764/DSC03864
0.048576
0.103565
0.033299
0.988971
0.708454
0.456404
28fec555cd/7e62dade_DSC04646
0.036822
0.310608
0.02336
0.961384
0.86863
0.669424
28fec555cd/7e62dade_DSC04826
0.034083
0.30537
0.016554
0.990536
0.938294
0.769009
28fec555cd/7e62dade_DSC05096
0.043832
0.265165
0.02274
0.983086
0.868019
0.616054
28fec555cd/7e62dade_DSC05196
0.067293
0.184105
0.025355
0.973874
0.88925
0.541007
28fec555cd/7e62dade_DSC05286
0.066767
0.127209
0.035604
0.957842
0.762617
0.387522
28fec555cd/7e62dade_DSC05316
0.057783
0.229884
0.031209
0.945857
0.794154
0.535213
28fec555cd/7e62dade_DSC05446
0.021364
0.412512
0.012486
0.995357
0.96857
0.835575
28fec555cd/7e62dade_DSC05456
0.035069
0.310665
0.014755
0.995552
0.946345
0.787424
28fec555cd/7e62dade_DSC05626
0.085477
0.159339
0.027928
0.942781
0.875551
0.576399
28fec555cd/7e62dade_DSC05876
0.061008
0.138766
0.03082
0.952162
0.779032
0.458908
3583c4c70f/91954a0d_DSC01762
0.078968
0.146689
0.033513
0.929726
0.769016
0.470262
3583c4c70f/91954a0d_DSC01812
0.058465
0.229018
0.031613
0.931919
0.804411
0.492377
3583c4c70f/91954a0d_DSC02062
0.065569
0.192028
0.038895
0.936426
0.722426
0.338798
3583c4c70f/91954a0d_DSC02212
0.032764
0.277196
0.024016
0.965602
0.848852
0.606052
3583c4c70f/91954a0d_DSC02292
0.016801
0.359596
0.014904
0.990422
0.954888
0.7994
3583c4c70f/91954a0d_DSC02392
0.064697
0.127285
0.03005
0.928997
0.80535
0.570329
3583c4c70f/91954a0d_DSC02432
0.059903
0.138249
0.079381
0.687655
0.451714
0.301981
3583c4c70f/91954a0d_DSC02612
0.041131
0.30352
0.035269
0.920961
0.778753
0.440856
39705fbdf1/02dd3b53_DSC01398
0.051609
0.142585
0.024919
0.957711
0.863128
0.576583
39705fbdf1/02dd3b53_DSC01769
0.035093
0.220312
0.016505
0.99824
0.971653
0.703978
39705fbdf1/02dd3b53_DSC01930
0.059314
0.264759
0.058763
0.752927
0.562566
0.399994
39705fbdf1/02dd3b53_DSC02196
0.038846
0.265516
0.025791
0.954385
0.883266
0.584397
39705fbdf1/02dd3b53_DSC02623
0.039785
0.251615
0.021482
0.986911
0.932034
0.589614
39f36da05b/DSC00485
0.029463
0.464215
0.010518
0.99935
0.987608
0.932653
39f36da05b/DSC00637
0.036686
0.317462
0.025987
0.943437
0.844079
0.608977
39f36da05b/DSC00709
0.050352
0.141362
0.020664
0.972863
0.868565
0.672113
4aef651da7/02dd3b53_DSC05460
0.023789
0.265196
0.021191
0.985444
0.940207
0.590178
4f144c7489/e7c619ce_DSC02035
0.020543
0.392799
0.014048
0.991139
0.946462
0.815903
4f144c7489/e7c619ce_DSC02175
0.058273
0.15283
0.028833
0.972462
0.795974
0.520884
5b0a310211/830fe74e_DSC02224
0.029132
0.274321
0.02696
0.953586
0.802773
0.624338
5b0a310211/830fe74e_DSC02374
0.06794
0.148885
0.044676
0.857947
0.702069
0.409056
5b0a310211/830fe74e_DSC02444
0.045822
0.156168
0.033391
0.943148
0.824288
0.377693
5b0a310211/830fe74e_DSC02604
0.034273
0.144166
0.023313
0.986896
0.897324
0.573002
5b0a310211/830fe74e_DSC02674
0.02478
0.320174
0.016061
0.997935
0.922993
0.746135
5b0a310211/830fe74e_DSC02724
0.041499
0.214855
0.012999
0.996087
0.972271
0.816766
5b0a310211/830fe74e_DSC02934
0.072272
0.17378
0.040296
0.892274
0.767469
0.458379
5b0a310211/830fe74e_DSC03494
0.075904
0.131947
0.031987
0.922218
0.815829
0.503896
6248c6742d/02dd3b53_DSC02544
0.031871
0.340382
0.020103
0.961608
0.910691
0.742623
6248c6742d/02dd3b53_DSC02974
0.036101
0.231512
0.022957
0.99437
0.890862
0.559026
6248c6742d/02dd3b53_DSC03534
0.041919
0.21825
0.022433
0.978683
0.895351
0.591022
6bd39ac392/DSC07864
0.017977
0.476993
0.009691
0.998237
0.986567
0.927738
6bd39ac392/DSC07894
0.027852
0.299923
0.014652
0.996794
0.955514
0.797136
6bd39ac392/DSC08584
0.0103
0.465759
0.010567
0.999093
0.989248
0.872828
6bd39ac392/DSC08834
0.042042
0.344695
0.015574
0.998335
0.950016
0.747464
736536044/c8572a21_DSC07949
0.046034
0.00982
0.256349
0.21768
0.087971
0.031989
7fb8ff20e9/54b71cee_DSC06588
0.038119
0.204743
0.022296
0.990172
0.87347
0.596446
7fb8ff20e9/54b71cee_DSC06668
0.045375
0.230107
0.022024
0.968897
0.877622
0.666322
7fb8ff20e9/54b71cee_DSC06728
0.054419
0.196887
0.021313
0.979244
0.885441
0.628364
7fb8ff20e9/54b71cee_DSC06878
0.037713
0.146371
0.032501
0.954401
0.813665
0.434291
7fb8ff20e9/54b71cee_DSC06918
0.040005
0.262427
0.045994
0.93669
0.784429
0.338209
8f82c394d6/DSC07653
0.034776
0.327718
0.03087
0.9211
0.834904
0.576261
8f82c394d6/DSC07733
0.041046
0.092092
0.027209
0.952796
0.885638
0.565746
8f82c394d6/DSC07753
0.052185
0.168729
0.022505
0.95676
0.887425
0.716948
8f82c394d6/DSC07803
0.044416
0.272725
0.02711
0.942462
0.859502
0.580733
95c9a0f535/02dd3b53_DSC08674
0.052486
0.150642
0.022178
0.976701
0.8786
0.648038
95c9a0f535/02dd3b53_DSC08744
0.056731
0.217316
0.02877
0.93538
0.826265
0.621995
95c9a0f535/02dd3b53_DSC08984
0.022551
0.275624
0.011935
0.999185
0.984411
0.845497
95c9a0f535/02dd3b53_DSC09034
0.07922
0.113592
0.025188
0.965624
0.86219
0.57755
95c9a0f535/02dd3b53_DSC09064
0.062676
0.161395
0.024958
0.961847
0.870933
0.583692
95c9a0f535/02dd3b53_DSC09174
0.051233
0.295017
0.022078
0.979412
0.88562
0.620661
95c9a0f535/02dd3b53_DSC09364
0.047294
0.20552
0.035405
0.941039
0.768878
0.364301
95c9a0f535/02dd3b53_DSC09380
0.03086
0.238341
0.030563
0.935992
0.770811
0.528292
9816c49e97/02dd3b53_DSC03710
0.057864
0.176218
0.022486
0.97473
0.910965
0.596904
9816c49e97/02dd3b53_DSC03871
0.031745
0.296948
0.020084
0.988038
0.949024
0.598779
9816c49e97/02dd3b53_DSC03979
0.036914
0.324091
0.016174
0.983719
0.955409
0.771157
9816c49e97/02dd3b53_DSC04121
0.031583
0.314888
0.017082
0.989302
0.930286
0.726763
9816c49e97/02dd3b53_DSC04231
0.058652
0.227943
0.022271
0.965538
0.892755
0.714291
9816c49e97/02dd3b53_DSC04251
0.058404
0.247276
0.025932
0.952949
0.901918
0.63062
9816c49e97/02dd3b53_DSC04352
0.0323
0.242704
0.012902
0.996651
0.985326
0.838625
End of preview.

No dataset card yet

Downloads last month
76