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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 1 new columns ({'stats'}) and 2 missing columns ({'length', 'tasks'}).

This happened while the json dataset builder was generating data using

hf://datasets/lmytimagedata/czy_aubo_20250522_lerobot/meta/episodes_stats.jsonl (at revision 8bff68dde00185dfa788ffff860048d04cc7022f)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              episode_index: int64
              stats: struct<observation.images.main_camera: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>, observation.state: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, timestamp: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, frame_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, episode_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, task_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>>
                child 0, observation.images.main_camera: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list
              ...
              _index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
                    child 0, min: list<item: int64>
                        child 0, item: int64
                    child 1, max: list<item: int64>
                        child 0, item: int64
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, count: list<item: int64>
                        child 0, item: int64
                child 6, index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
                    child 0, min: list<item: int64>
                        child 0, item: int64
                    child 1, max: list<item: int64>
                        child 0, item: int64
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, count: list<item: int64>
                        child 0, item: int64
                child 7, task_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
                    child 0, min: list<item: int64>
                        child 0, item: int64
                    child 1, max: list<item: int64>
                        child 0, item: int64
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, count: list<item: int64>
                        child 0, item: int64
              to
              {'episode_index': Value(dtype='int64', id=None), 'tasks': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'length': Value(dtype='int64', id=None)}
              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 1436, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 1 new columns ({'stats'}) and 2 missing columns ({'length', 'tasks'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/lmytimagedata/czy_aubo_20250522_lerobot/meta/episodes_stats.jsonl (at revision 8bff68dde00185dfa788ffff860048d04cc7022f)
              
              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)

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episode_index
int64
tasks
sequence
length
int64
0
[ "put eggplant into the box" ]
93
1
[ "move red pepper out of the box" ]
82
2
[ "move potato out of the box" ]
81
3
[ "put potato into the box" ]
76
4
[ "put red pepper into the box" ]
94
5
[ "put eggplant into the box" ]
83
6
[ "put red pepper into the box" ]
98
7
[ "move eggplant out of the box" ]
78
8
[ "put potato into the box" ]
80
9
[ "put potato into the box" ]
78
10
[ "put lemon into the box" ]
75
11
[ "move lemon out of the box" ]
98
12
[ "put orange into the box" ]
76
13
[ "move potato out of the box" ]
79
14
[ "put lemon into the box" ]
83
15
[ "move orange out of the box" ]
70
16
[ "put potato into the box" ]
73
17
[ "move lemon out of the box" ]
82
18
[ "move orange out of the box" ]
83
19
[ "move potato out of the box" ]
81
20
[ "put orange into the box" ]
70
21
[ "put peach into the box" ]
85
22
[ "move peach out of the box" ]
68
23
[ "put potato into the box" ]
80
24
[ "move potato out of the box" ]
78
25
[ "move eggplant out of the box" ]
77
26
[ "put eggplant into the box" ]
73
27
[ "move potato out of the box" ]
75
28
[ "move mango out of the box" ]
73
29
[ "put banana into the box" ]
83
30
[ "put mango into the box" ]
71
31
[ "put eggplant into the box" ]
72
32
[ "move potato out of the box" ]
81
33
[ "move eggplant out of the box" ]
85
34
[ "put mango into the box" ]
58
35
[ "put potato into the box" ]
68
36
[ "move banana out of the box" ]
74
37
[ "put potato into the box" ]
74
38
[ "move eggplant out of the box" ]
50
39
[ "move red pepper out of the box" ]
75
40
[ "put red pepper into the box" ]
71
41
[ "move potato out of the box" ]
73
42
[ "move red pepper out of the box" ]
73
43
[ "put eggplant into the box" ]
83
44
[ "move eggplant out of the box" ]
70
45
[ "put potato into the box" ]
72
46
[ "put potato into the box" ]
71
47
[ "put orange into the box" ]
84
48
[ "put lemon into the box" ]
98
49
[ "put potato into the box" ]
84
50
[ "put mango into the box" ]
86
51
[ "move mango out of the box" ]
62
52
[ "put banana into the box" ]
71
0
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