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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 ({'tasks', 'length'}).

This happened while the json dataset builder was generating data using

hf://datasets/chuanmew/baxter_example_5_lerobot/meta/episodes_stats.jsonl (at revision c29df6cb624f3f7fe6bc8641ffcdbec67b523d79)

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 623, 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 1438, 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 1050, 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 ({'tasks', 'length'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/chuanmew/baxter_example_5_lerobot/meta/episodes_stats.jsonl (at revision c29df6cb624f3f7fe6bc8641ffcdbec67b523d79)
              
              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.

episode_index
int64
tasks
sequence
length
int64
0
[ "grasp 150g green buttons" ]
35
1
[ "drop 150g white rice" ]
34
2
[ "shake 150g red nutsandbolts" ]
108
3
[ "hold 100g yellow dices" ]
13
4
[ "push 50g blue nutsandbolts" ]
32
5
[ "shake 100g red marbles" ]
105
6
[ "push 50g green pasta" ]
29
7
[ "grasp 100g red nutsandbolts" ]
27
8
[ "pick 100g green rice" ]
38
9
[ "shake 50g blue rice" ]
114
10
[ "shake 150g blue pasta" ]
97
11
[ "drop 100g yellow rice" ]
29
12
[ "hold 150g yellow rice" ]
9
13
[ "drop 50g green buttons" ]
36
14
[ "shake 50g white nutsandbolts" ]
129
15
[ "grasp 50g white dices" ]
26
16
[ "grasp 100g white marbles" ]
24
17
[ "shake 50g blue nutsandbolts" ]
96
18
[ "lower 100g white dices" ]
20
19
[ "lower 50g white nutsandbolts" ]
27
20
[ "drop 100g red marbles" ]
32
21
[ "drop 100g green pasta" ]
35
22
[ "grasp 150g green rice" ]
33
23
[ "drop 100g yellow pasta" ]
31
24
[ "shake 150g red marbles" ]
88
25
[ "drop 50g blue nutsandbolts" ]
32
26
[ "pick 100g green marbles" ]
37
27
[ "shake 50g white dices" ]
78
28
[ "lower 100g blue buttons" ]
9
29
[ "pick 100g blue dices" ]
44
30
[ "hold 150g yellow marbles" ]
18
31
[ "grasp 150g green nutsandbolts" ]
21
32
[ "lower 150g white rice" ]
19
33
[ "drop 50g red dices" ]
27
34
[ "pick 100g blue nutsandbolts" ]
40
35
[ "pick 100g red dices" ]
35
36
[ "pick 100g red pasta" ]
38
37
[ "drop 100g blue dices" ]
35
38
[ "hold 100g blue pasta" ]
15
39
[ "shake 150g yellow rice" ]
132
40
[ "pick 50g red dices" ]
36
41
[ "shake 150g white pasta" ]
138
42
[ "push 100g white pasta" ]
29
43
[ "grasp 22g blue empty" ]
33
44
[ "lower 100g white buttons" ]
26
45
[ "drop 150g green dices" ]
34
46
[ "lower 150g red marbles" ]
26
47
[ "shake 150g red rice" ]
145
48
[ "drop 50g red dices" ]
27
49
[ "drop 50g green nutsandbolts" ]
29
50
[ "hold 100g blue marbles" ]
29
51
[ "pick 150g yellow marbles" ]
25
52
[ "hold 100g green buttons" ]
12
53
[ "push 50g blue marbles" ]
32
54
[ "hold 100g blue pasta" ]
14
55
[ "lower 150g green marbles" ]
63
56
[ "pick 150g green rice" ]
40
57
[ "shake 50g yellow pasta" ]
143
58
[ "grasp 100g red dices" ]
28
59
[ "grasp 150g red dices" ]
34
60
[ "drop 50g red rice" ]
34
61
[ "grasp 150g white buttons" ]
32
62
[ "shake 100g white dices" ]
92
63
[ "pick 50g red nutsandbolts" ]
42
64
[ "push 150g green nutsandbolts" ]
34
65
[ "grasp 150g green nutsandbolts" ]
31
66
[ "lower 150g white rice" ]
19
67
[ "hold 50g blue rice" ]
14
68
[ "lower 150g white marbles" ]
20
69
[ "drop 100g white marbles" ]
38
70
[ "push 100g yellow rice" ]
33
71
[ "grasp 150g blue pasta" ]
27
72
[ "hold 50g red dices" ]
21
73
[ "hold 100g white rice" ]
9
74
[ "drop 150g white dices" ]
41
75
[ "push 50g yellow rice" ]
26
76
[ "grasp 50g white pasta" ]
30
77
[ "drop 100g blue buttons" ]
32
78
[ "drop 22g green empty" ]
35
79
[ "lower 100g white pasta" ]
23
80
[ "hold 100g red pasta" ]
14
81
[ "pick 100g green nutsandbolts" ]
44
82
[ "drop 50g yellow rice" ]
33
83
[ "grasp 150g white marbles" ]
24
84
[ "pick 150g white rice" ]
37
85
[ "lower 150g yellow marbles" ]
13
86
[ "pick 100g green buttons" ]
38
87
[ "grasp 100g white marbles" ]
28
88
[ "drop 150g green buttons" ]
35
89
[ "hold 50g red dices" ]
13
90
[ "drop 50g blue pasta" ]
33
91
[ "hold 50g blue buttons" ]
17
92
[ "push 50g white dices" ]
23
93
[ "hold 50g green marbles" ]
15
94
[ "shake 150g red nutsandbolts" ]
143
95
[ "lower 50g blue pasta" ]
27
96
[ "hold 100g blue buttons" ]
17
97
[ "push 150g green nutsandbolts" ]
26
98
[ "grasp 50g white dices" ]
26
99
[ "lower 100g red dices" ]
25
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