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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
episode_id: int64
episode_length: int64
object_ids: list<item: int64>
  child 0, item: int64
task_name: string
trial_name: string
view: string
split: string
-- schema metadata --
huggingface: '{"info": {"features": {"episode_id": {"dtype": "int64", "_t' + 355
to
{'episode_id': Value('int64'), 'obj_id': Value('int64'), 'frame_id': Value('int64'), 'view': Value('string'), 'embedding_method_name': Value('string'), 'embedding': List(Value('float64'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                                  ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 76, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 59, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              episode_id: int64
              episode_length: int64
              object_ids: list<item: int64>
                child 0, item: int64
              task_name: string
              trial_name: string
              view: string
              split: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"episode_id": {"dtype": "int64", "_t' + 355
              to
              {'episode_id': Value('int64'), 'obj_id': Value('int64'), 'frame_id': Value('int64'), 'view': Value('string'), 'embedding_method_name': Value('string'), 'embedding': List(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 1334, 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 911, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1858, 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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episode_id
int64
obj_id
int64
frame_id
int64
view
string
embedding_method_name
string
embedding
list
1,414,726,121
0
48
varied_camera_1
laser_unary_clip
[ -0.337890625, 0.029296875, -0.2021484375, 0.2734375, 0.8125, -0.400390625, 0.2578125, 0.3984375, 0.1513671875, -0.1875, 0.23828125, 0.01190185546875, 0.1484375, 0.0022125244140625, -0.1015625, 0.0223388671875, -0.6640625, -0.330078125, -0.2216796875, 0.28125, -0.83203125, -...
1,414,726,121
1
48
varied_camera_1
laser_unary_clip
[ -0.042724609375, -0.1767578125, -0.0242919921875, 0.0033721923828125, 0.53125, 0.298828125, 0.181640625, 0.609375, 0.06103515625, -0.3359375, 0.19921875, -0.126953125, 0.81640625, -0.25390625, 0.2578125, -0.173828125, -0.0027618408203125, -0.107421875, 0.5234375, 0.171875, -0...
1,414,726,121
2
48
varied_camera_1
laser_unary_clip
[ -0.022705078125, -0.0196533203125, -0.2734375, -0.11376953125, 0.40625, -0.109375, -0.0238037109375, 0.4765625, 0.2431640625, -0.07666015625, 0.134765625, 0.1455078125, -0.1708984375, -0.384765625, 0.083984375, 0.171875, -0.01904296875, -0.216796875, 0.30859375, 0.0947265625, ...
1,414,726,121
3
48
varied_camera_1
laser_unary_clip
[ -0.028076171875, 0.05419921875, 0.014892578125, -0.06884765625, 0.7734375, -0.2890625, 0.1103515625, 0.875, 0.3125, -0.2197265625, 0.5234375, -0.09521484375, 0.73046875, -0.1474609375, 0.1337890625, -0.28515625, 0.1025390625, -0.375, 0.2490234375, -0.025390625, 0.138671875, ...
1,414,726,121
4
48
varied_camera_1
laser_unary_clip
[ 0.25, -0.2333984375, 0.12109375, 0.1474609375, 0.251953125, -0.1171875, -0.033935546875, 0.578125, 0.5234375, -0.30859375, 0.248046875, -0.1982421875, 0.28515625, -0.09912109375, 0.46875, -0.302734375, -0.166015625, 0.059326171875, 0.06640625, -0.08056640625, -0.255859375, ...
1,414,726,121
5
48
varied_camera_1
laser_unary_clip
[ -0.061767578125, -0.060302734375, -0.09912109375, -0.220703125, 0.6640625, -0.158203125, 0.4765625, 0.66015625, 0.004119873046875, -0.004669189453125, 0.376953125, 0.189453125, 0.5234375, -0.287109375, 0.1796875, -0.1533203125, -0.171875, -0.005859375, 0.09423828125, 0.04003906...
1,414,726,121
6
48
varied_camera_1
laser_unary_clip
[ -0.208984375, -0.05126953125, 0.048828125, -0.043701171875, 0.7109375, 0.1689453125, 0.359375, 0.6875, -0.283203125, -0.142578125, 0.181640625, 0.048583984375, 0.65234375, -0.41015625, 0.01806640625, 0.006256103515625, -0.55859375, -0.12255859375, 0.01513671875, 0.07470703125, ...
1,414,726,121
7
48
varied_camera_1
laser_unary_clip
[ 0.169921875, 0.08740234375, -0.23828125, -0.12353515625, 0.5703125, 0.302734375, -0.19921875, 0.55859375, 0.1025390625, -0.01531982421875, 0.16015625, -0.3828125, 0.5234375, -0.18359375, -0.1748046875, -0.50390625, -0.474609375, -0.01708984375, 0.11376953125, -0.171875, -0.07...
1,414,726,121
8
48
varied_camera_1
laser_unary_clip
[ 0.07177734375, -0.0167236328125, -0.01104736328125, -0.205078125, 0.5234375, 0.09619140625, 0.03759765625, 0.69140625, -0.126953125, -0.12255859375, 0.3828125, 0.0751953125, 0.55078125, 0.00006389617919921875, -0.0130615234375, -0.2890625, -0.22265625, -0.2119140625, 0.2109375, ...
1,414,726,121
9
48
varied_camera_1
laser_unary_clip
[ -0.016357421875, -0.054931640625, 0.08740234375, 0.061767578125, 0.28125, 0.2236328125, -0.115234375, 0.5078125, 0.06689453125, -0.16796875, 0.216796875, -0.390625, 0.33203125, -0.1796875, 0.1708984375, -0.2412109375, -0.37109375, 0.006927490234375, 0.337890625, -0.1806640625, ...
1,414,726,121
0
49
varied_camera_1
laser_unary_clip
[ -0.251953125, 0.02783203125, -0.240234375, 0.146484375, 0.78125, -0.431640625, 0.28515625, 0.490234375, 0.1650390625, -0.05810546875, 0.1591796875, 0.0205078125, 0.138671875, 0.009033203125, -0.059814453125, -0.060791015625, -0.412109375, -0.48828125, -0.115234375, 0.1040039062...
1,414,726,121
1
49
varied_camera_1
laser_unary_clip
[ 0.06787109375, -0.26171875, 0.2001953125, 0.0087890625, 0.494140625, 0.298828125, 0.259765625, 0.703125, -0.1474609375, -0.259765625, 0.04736328125, -0.1650390625, 0.59765625, -0.302734375, 0.328125, -0.35546875, 0.050048828125, -0.1796875, 0.392578125, 0.2177734375, -0.31054...
1,414,726,121
2
49
varied_camera_1
laser_unary_clip
[ -0.0732421875, 0.005157470703125, -0.333984375, -0.130859375, 0.443359375, -0.012939453125, -0.013671875, 0.546875, 0.279296875, -0.08837890625, 0.15234375, 0.1220703125, -0.024658203125, -0.31640625, 0.05908203125, 0.15234375, 0.0859375, -0.1728515625, 0.37890625, 0.0791015625...
1,414,726,121
3
49
varied_camera_1
laser_unary_clip
[ -0.1396484375, -0.072265625, 0.03759765625, -0.130859375, 0.60546875, -0.26171875, 0.1220703125, 0.703125, 0.28125, -0.400390625, 0.51171875, -0.07421875, 0.59375, -0.37890625, 0.1015625, -0.33203125, 0.294921875, -0.494140625, 0.001739501953125, -0.09375, 0.28125, -0.13964...
1,414,726,121
4
49
varied_camera_1
laser_unary_clip
[ 0.13671875, -0.2060546875, 0.126953125, 0.40234375, 0.1865234375, 0.0849609375, -0.07177734375, 0.515625, 0.48828125, -0.279296875, 0.494140625, -0.16796875, 0.349609375, 0.009521484375, 0.47265625, -0.267578125, -0.408203125, -0.059814453125, -0.07470703125, -0.05322265625, ...
1,414,726,121
5
49
varied_camera_1
laser_unary_clip
[ -0.134765625, -0.044677734375, -0.000782012939453125, -0.177734375, 0.6875, -0.05322265625, 0.291015625, 0.8046875, 0.0240478515625, -0.0625, 0.32421875, 0.1640625, 0.7109375, -0.30078125, 0.203125, -0.146484375, -0.337890625, 0.0869140625, 0.11767578125, 0.12109375, -0.02551...
1,414,726,121
6
49
varied_camera_1
laser_unary_clip
[ -0.1513671875, -0.048828125, 0.0849609375, -0.07861328125, 0.8203125, 0.10107421875, 0.41796875, 0.70703125, -0.1572265625, -0.1044921875, 0.1796875, 0.154296875, 0.609375, -0.34375, -0.01422119140625, -0.0869140625, -0.5, -0.00518798828125, 0.07861328125, -0.01483154296875, ...
1,414,726,121
7
49
varied_camera_1
laser_unary_clip
[ 0.00119781494140625, 0.1962890625, -0.11181640625, 0.11474609375, 0.455078125, 0.072265625, -0.185546875, 0.53125, 0.0390625, -0.087890625, 0.2021484375, -0.1650390625, 0.51953125, -0.3828125, -0.0400390625, -0.4765625, -0.703125, 0.1435546875, 0.267578125, -0.2119140625, -0....
1,414,726,121
8
49
varied_camera_1
laser_unary_clip
[ 0.0908203125, -0.1064453125, 0.08251953125, -0.134765625, 0.59375, 0.19140625, -0.00885009765625, 0.6640625, -0.07958984375, -0.1796875, 0.357421875, -0.09033203125, 0.85546875, -0.2578125, 0.0908203125, -0.3671875, -0.05029296875, -0.2060546875, 0.220703125, 0.1494140625, 0....
1,414,726,121
9
49
varied_camera_1
laser_unary_clip
[ -0.1220703125, -0.19140625, 0.0235595703125, 0.1943359375, 0.2255859375, 0.0115966796875, -0.1337890625, 0.58203125, 0.205078125, -0.150390625, 0.287109375, -0.2216796875, 0.48046875, -0.279296875, 0.2099609375, -0.2333984375, -0.3515625, -0.00004601478576660156, 0.1884765625, ...
1,414,726,121
0
50
varied_camera_1
laser_unary_clip
[ -0.3046875, 0.05126953125, -0.1484375, 0.2333984375, 0.8984375, -0.404296875, 0.326171875, 0.447265625, 0.1044921875, -0.12060546875, 0.1533203125, 0.055419921875, 0.1953125, 0.0167236328125, 0.057373046875, 0.01129150390625, -0.427734375, -0.46484375, -0.1748046875, 0.140625, ...
1,414,726,121
1
50
varied_camera_1
laser_unary_clip
[ 0.027099609375, -0.23828125, 0.1884765625, 0.13671875, 0.470703125, 0.2265625, 0.298828125, 0.625, -0.1787109375, -0.30859375, -0.0201416015625, -0.162109375, 0.625, -0.353515625, 0.263671875, -0.361328125, 0.107421875, -0.177734375, 0.263671875, 0.1611328125, -0.376953125, ...
1,414,726,121
2
50
varied_camera_1
laser_unary_clip
[ -0.051025390625, 0.06005859375, -0.337890625, -0.1630859375, 0.458984375, 0.006317138671875, 0.0038909912109375, 0.5546875, 0.208984375, -0.04248046875, 0.1875, 0.06201171875, 0.00019168853759765625, -0.3046875, 0.033447265625, 0.1435546875, 0.0712890625, -0.24609375, 0.34375, ...
1,414,726,121
3
50
varied_camera_1
laser_unary_clip
[ -0.1552734375, -0.060791015625, 0.0034027099609375, -0.10205078125, 0.6015625, -0.193359375, 0.087890625, 0.69140625, 0.2353515625, -0.37890625, 0.52734375, -0.07421875, 0.55078125, -0.390625, 0.171875, -0.28515625, 0.37109375, -0.498046875, 0.034912109375, -0.12109375, 0.292...
1,414,726,121
4
50
varied_camera_1
laser_unary_clip
[ 0.1767578125, -0.1279296875, 0.038818359375, 0.279296875, 0.44921875, 0.2099609375, -0.057373046875, 0.5390625, 0.41015625, -0.2890625, 0.396484375, -0.0089111328125, 0.59765625, -0.11376953125, 0.322265625, -0.302734375, -0.53125, 0.263671875, 0.05322265625, 0.10009765625, -...
1,414,726,121
5
50
varied_camera_1
laser_unary_clip
[ -0.123046875, -0.050537109375, 0.012451171875, -0.173828125, 0.6640625, -0.0751953125, 0.302734375, 0.78125, 0.000972747802734375, -0.064453125, 0.318359375, 0.171875, 0.71875, -0.255859375, 0.212890625, -0.14453125, -0.296875, 0.10400390625, 0.12255859375, 0.12109375, -0.015...
1,414,726,121
6
50
varied_camera_1
laser_unary_clip
[ -0.171875, -0.04296875, 0.08642578125, -0.07421875, 0.8046875, 0.06884765625, 0.431640625, 0.69921875, -0.154296875, -0.10498046875, 0.181640625, 0.162109375, 0.6015625, -0.322265625, -0.013427734375, -0.08642578125, -0.490234375, 0.0145263671875, 0.099609375, -0.038330078125, ...
1,414,726,121
7
50
varied_camera_1
laser_unary_clip
[ 0.1689453125, 0.2490234375, -0.11767578125, 0.1103515625, 0.375, 0.1455078125, -0.0185546875, 0.5546875, -0.05908203125, -0.0986328125, 0.294921875, -0.251953125, 0.462890625, -0.44921875, 0.046875, -0.2890625, -0.6875, 0.083984375, 0.29296875, -0.255859375, -0.1640625, -0....
1,414,726,121
8
50
varied_camera_1
laser_unary_clip
[ 0.166015625, -0.201171875, 0.078125, -0.1708984375, 0.578125, 0.1083984375, -0.0986328125, 0.57421875, 0.03173828125, -0.177734375, 0.28125, -0.10986328125, 0.9140625, -0.326171875, 0.0654296875, -0.353515625, 0.11669921875, -0.154296875, 0.31640625, 0.15625, -0.0136108398437...
1,414,726,121
9
50
varied_camera_1
laser_unary_clip
[ -0.130859375, -0.1806640625, -0.08544921875, 0.0517578125, 0.35546875, 0.038330078125, -0.12890625, 0.578125, 0.1298828125, -0.1884765625, 0.251953125, -0.16015625, 0.5625, -0.43359375, 0.2333984375, -0.3828125, -0.4921875, -0.0673828125, 0.06591796875, -0.27734375, 0.1186523...
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