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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 13 new columns ({'hx_half', 'hy_half', 'intrusion_dense', 'reach_fin', 'yaw_rel', 'uid', 'set', 'gap0', 'tag', 'near_stop', 'reach_max', 'hy', 'key'}) and 4 missing columns ({'near_stop_haz', 'reach_haz', 'reach_clear', 'near_stop_clear'}).

This happened while the json dataset builder was generating data using

hf://datasets/matCercola18/pbdb-carla-cache/feats/h109c_scenes.json (at revision 81b8006f05c70e5cc83954db91dc757363e81160), ['hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/close_range_battery.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h109c_scenes.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h139_gate_cameras_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h140_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h141_gated_arm_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h95_carla_scenes.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/close_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h109c_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h84_yaw_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h87b_range_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/p2_pairs.json'], ['hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/close_range_battery.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h109c_scenes.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h139_gate_cameras_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h140_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h141_gated_arm_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h95_carla_scenes.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/close_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h109c_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h84_yaw_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h87b_range_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/p2_pairs.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)
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 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, 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
              uid: string
              set: string
              key: string
              site: int64
              kind: string
              tag: string
              hz: double
              hy: double
              yaw_rel: double
              hx_half: double
              hy_half: double
              gap0: double
              reach_fin: double
              reach_max: double
              near_stop: double
              intrusion: double
              intrusion_dense: double
              to
              {'site': Value('int64'), 'kind': Value('string'), 'hz': Value('float64'), 'reach_haz': Value('float64'), 'reach_clear': Value('float64'), 'near_stop_haz': Value('float64'), 'near_stop_clear': Value('float64'), 'intrusion': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              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 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 13 new columns ({'hx_half', 'hy_half', 'intrusion_dense', 'reach_fin', 'yaw_rel', 'uid', 'set', 'gap0', 'tag', 'near_stop', 'reach_max', 'hy', 'key'}) and 4 missing columns ({'near_stop_haz', 'reach_haz', 'reach_clear', 'near_stop_clear'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/matCercola18/pbdb-carla-cache/feats/h109c_scenes.json (at revision 81b8006f05c70e5cc83954db91dc757363e81160), ['hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/close_range_battery.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h109c_scenes.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h139_gate_cameras_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h140_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h141_gated_arm_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h95_carla_scenes.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/close_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h109c_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h84_yaw_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h87b_range_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/p2_pairs.json'], ['hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/close_range_battery.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h109c_scenes.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h139_gate_cameras_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h140_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h141_gated_arm_rows.jsonl', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/feats/h95_carla_scenes.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/close_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h109c_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h84_yaw_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/h87b_range_pairs.json', 'hf://datasets/matCercola18/pbdb-carla-cache@81b8006f05c70e5cc83954db91dc757363e81160/frames/p2_pairs.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)

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.

site
int64
kind
string
hz
float64
reach_haz
float64
reach_clear
float64
near_stop_haz
float64
near_stop_clear
float64
intrusion
float64
0
car
4
17.146669
27.42765
0
0
1
0
car
6
5.173991
27.42765
1
0
1
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truck
4
29.985853
27.42765
0
0
1
0
truck
6
7.510395
27.42765
0.666667
0
1
0
pedestrian
4
5.768377
27.42765
1
0
1
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pedestrian
6
6.328412
27.42765
0.833333
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cyclist
4
6.07975
27.42765
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cyclist
6
6.180216
27.42765
0.833333
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motorcycle
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motorcycle
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cone
4
22.895571
27.42765
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cone
6
13.782176
27.42765
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car
4
9.502488
26.346006
0.333333
0
1
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car
6
4.471271
26.346006
1
0
1
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truck
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14.283325
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1
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truck
6
4.695662
26.346006
1
0
1
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pedestrian
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4.448421
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1
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1
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pedestrian
6
4.936954
26.346006
1
0
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1
cyclist
4
3.811387
26.346006
1
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1
1
cyclist
6
3.995083
26.346006
1
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1
motorcycle
4
4.53728
26.346006
1
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1
1
motorcycle
6
4.70362
26.346006
1
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cone
4
21.045389
26.346006
0
0
1
1
cone
6
19.001207
26.346006
0
0
1
2
car
4
17.517654
30.635321
0.166667
0
1
2
car
6
4.690736
30.635321
1
0
1
2
truck
4
30.688574
30.635321
0
0
1
2
truck
6
11.203887
30.635321
0.5
0
1
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pedestrian
4
6.592349
30.635321
0.833333
0
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pedestrian
6
6.090203
30.635321
0.833333
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cyclist
4
5.640869
30.635321
0.833333
0
1
2
cyclist
6
6.25784
30.635321
1
0
1
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motorcycle
4
10.698939
30.635321
0.666667
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1
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motorcycle
6
7.52749
30.635321
0.833333
0
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cone
4
25.016169
30.635321
0
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1
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cone
6
21.002214
30.635321
0
0
1
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car
4
11.395659
25.57196
0.333333
0
1
3
car
6
5.372654
25.57196
1
0
1
3
truck
4
22.304871
25.57196
0
0
1
3
truck
6
11.853494
25.57196
0.5
0
1
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pedestrian
4
4.451148
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1
0
1
3
pedestrian
6
6.283838
25.57196
0.833333
0
1
3
cyclist
4
5.927717
25.57196
1
0
1
3
cyclist
6
6.371275
25.57196
0.833333
0
1
3
motorcycle
4
6.550974
25.57196
0.833333
0
1
3
motorcycle
6
6.108888
25.57196
1
0
1
3
cone
4
24.5753
25.57196
0
0
1
3
cone
6
21.581976
25.57196
0
0
1
4
car
4
18.001421
26.611549
0.166667
0
1
4
car
6
5.188425
26.611549
1
0
1
4
truck
4
27.366617
26.611549
0
0
1
4
truck
6
8.288155
26.611549
0.666667
0
1
4
pedestrian
4
5.110612
26.611549
1
0
1
4
pedestrian
6
6.598488
26.611549
0.833333
0
1
4
cyclist
4
5.634644
26.611549
0.833333
0
1
4
cyclist
6
5.902844
26.611549
0.833333
0
1
4
motorcycle
4
10.268012
26.611549
0.666667
0
1
4
motorcycle
6
6.643047
26.611549
0.833333
0
1
4
cone
4
22.448404
26.611549
0
0
1
4
cone
6
19.868532
26.611549
0
0
1
5
car
4
12.279224
26.936037
0.166667
0
1
5
car
6
4.002412
26.936037
1
0
1
5
truck
4
23.946785
26.936037
0
0
1
5
truck
6
6.651484
26.936037
0.666667
0
1
5
pedestrian
4
3.550512
26.936037
1
0
1
5
pedestrian
6
3.091022
26.936037
1
0
1
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cyclist
4
2.602405
26.936037
1
0
1
5
cyclist
6
3.393153
26.936037
1
0
1
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motorcycle
4
3.943774
26.936037
1
0
1
5
motorcycle
6
3.49761
26.936037
1
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1
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cone
4
23.674759
26.936037
0
0
1
5
cone
6
12.564132
26.936037
0
0
1
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car
8
6.972532
27.61606
0.833333
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1
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car
12
9.667048
27.61606
0.166667
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1
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car
20
17.328596
27.61606
0
0
0.166667
0
car
30
23.481775
27.61606
0
0
0.166667
0
truck
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5.841866
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1
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truck
12
7.728178
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0.666667
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1
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truck
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12.016292
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truck
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17.317837
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pedestrian
8
7.407877
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pedestrian
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10.317859
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1
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pedestrian
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11.892348
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0
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pedestrian
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18.805876
27.61606
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0
0
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cyclist
8
8.540778
27.61606
0.333333
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1
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cyclist
12
16.773603
27.61606
0
0
1
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cyclist
20
22.791824
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0
0.333333
0
cyclist
30
27.833357
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0
0
0
motorcycle
8
7.182266
27.61606
0.833333
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motorcycle
12
14.055224
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motorcycle
20
14.593501
27.61606
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0
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motorcycle
30
21.976967
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0
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0
cone
8
19.527985
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0
1
0
cone
12
14.906596
27.61606
0
0
1
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cone
20
24.135344
27.61606
0
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0
0
cone
30
23.339315
27.61606
0
0
0.166667
1
car
8
6.009878
25.175415
1
0
1
1
car
12
9.009807
25.175415
0.166667
0
1
1
car
20
12.804864
25.175415
0
0
0.166667
1
car
30
22.344017
25.175415
0
0
0.333333
End of preview.

pbdb-carla-cache

Rendered CARLA frame pairs and cached Alpamayo features/tokens for the CARLA-static probes (experiments/carla_static). Restore under $PBDB_RAW/carla_static/.

Part of the code release for the paper "Perceives but Doesn't Brake". Fetch with python scripts/get_data.py from the code repository; files are checksummed in data/hf_layout.json.

Licence: to be set by the authors. Derived from CARLA renders and from features of NVIDIA Alpamayo-1.5, whose weights are non-commercial.

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