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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_val_lerobot/meta/episodes_stats.jsonl (at revision 6eca76cd4bc200a8e5ef7417f50ba66f6fca2e46)
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_val_lerobot/meta/episodes_stats.jsonl (at revision 6eca76cd4bc200a8e5ef7417f50ba66f6fca2e46)
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
|
[
"shake 100g blue dices"
] | 98
|
1
|
[
"lower 22g yellow empty"
] | 24
|
2
|
[
"drop 150g white nutsandbolts"
] | 33
|
3
|
[
"drop 100g blue marbles"
] | 36
|
4
|
[
"pick 100g yellow pasta"
] | 35
|
5
|
[
"push 150g red pasta"
] | 36
|
6
|
[
"drop 100g green dices"
] | 35
|
7
|
[
"grasp 150g white nutsandbolts"
] | 32
|
8
|
[
"pick 150g yellow rice"
] | 39
|
9
|
[
"shake 50g yellow buttons"
] | 143
|
10
|
[
"pick 150g red nutsandbolts"
] | 37
|
11
|
[
"grasp 100g green buttons"
] | 32
|
12
|
[
"grasp 100g green nutsandbolts"
] | 33
|
13
|
[
"pick 150g blue pasta"
] | 40
|
14
|
[
"pick 22g yellow empty"
] | 64
|
15
|
[
"grasp 150g yellow dices"
] | 35
|
16
|
[
"pick 150g white rice"
] | 39
|
17
|
[
"lower 22g green empty"
] | 27
|
18
|
[
"shake 50g green nutsandbolts"
] | 76
|
19
|
[
"drop 22g yellow empty"
] | 35
|
20
|
[
"push 150g green dices"
] | 33
|
21
|
[
"push 50g blue rice"
] | 28
|
22
|
[
"lower 150g red buttons"
] | 23
|
23
|
[
"pick 100g blue pasta"
] | 45
|
24
|
[
"push 100g white pasta"
] | 36
|
25
|
[
"shake 100g red dices"
] | 136
|
26
|
[
"shake 100g green buttons"
] | 91
|
27
|
[
"lower 22g blue empty"
] | 64
|
28
|
[
"hold 50g yellow buttons"
] | 20
|
29
|
[
"pick 150g red buttons"
] | 33
|
30
|
[
"push 100g blue pasta"
] | 37
|
31
|
[
"grasp 100g white pasta"
] | 31
|
32
|
[
"push 100g green dices"
] | 31
|
33
|
[
"drop 50g red rice"
] | 28
|
34
|
[
"lower 150g green pasta"
] | 24
|
35
|
[
"shake 150g white rice"
] | 48
|
36
|
[
"drop 100g red buttons"
] | 29
|
37
|
[
"lower 50g blue nutsandbolts"
] | 23
|
38
|
[
"lower 50g yellow rice"
] | 22
|
39
|
[
"shake 100g blue marbles"
] | 138
|
40
|
[
"hold 50g blue pasta"
] | 17
|
41
|
[
"hold 100g green marbles"
] | 20
|
42
|
[
"push 50g green rice"
] | 34
|
43
|
[
"shake 100g yellow dices"
] | 105
|
44
|
[
"hold 22g white empty"
] | 24
|
45
|
[
"drop 100g yellow pasta"
] | 35
|
46
|
[
"pick 150g yellow nutsandbolts"
] | 16
|
47
|
[
"drop 100g green buttons"
] | 31
|
48
|
[
"shake 150g red dices"
] | 106
|
49
|
[
"drop 50g green nutsandbolts"
] | 31
|
50
|
[
"push 100g green rice"
] | 28
|
51
|
[
"hold 150g white buttons"
] | 18
|
52
|
[
"shake 100g yellow nutsandbolts"
] | 102
|
53
|
[
"drop 50g green marbles"
] | 34
|
54
|
[
"shake 50g yellow rice"
] | 142
|
55
|
[
"drop 150g red marbles"
] | 29
|
56
|
[
"grasp 100g red rice"
] | 22
|
57
|
[
"lower 100g red marbles"
] | 20
|
58
|
[
"lower 150g white marbles"
] | 29
|
59
|
[
"grasp 100g blue pasta"
] | 17
|
60
|
[
"hold 100g yellow buttons"
] | 20
|
61
|
[
"hold 150g blue marbles"
] | 12
|
62
|
[
"lower 100g yellow pasta"
] | 25
|
63
|
[
"push 100g green dices"
] | 35
|
64
|
[
"pick 50g blue marbles"
] | 66
|
65
|
[
"shake 100g green pasta"
] | 148
|
66
|
[
"grasp 50g green pasta"
] | 29
|
67
|
[
"lower 50g red rice"
] | 20
|
68
|
[
"pick 150g red rice"
] | 37
|
69
|
[
"shake 150g blue nutsandbolts"
] | 91
|
70
|
[
"shake 100g blue pasta"
] | 143
|
71
|
[
"grasp 22g yellow empty"
] | 32
|
72
|
[
"lower 50g red nutsandbolts"
] | 16
|
73
|
[
"lower 100g white pasta"
] | 34
|
74
|
[
"pick 50g white pasta"
] | 38
|
75
|
[
"shake 50g green pasta"
] | 136
|
76
|
[
"drop 100g green rice"
] | 38
|
77
|
[
"drop 22g white empty"
] | 36
|
78
|
[
"pick 100g blue nutsandbolts"
] | 36
|
79
|
[
"push 100g blue nutsandbolts"
] | 30
|
80
|
[
"grasp 50g blue marbles"
] | 18
|
81
|
[
"drop 50g green dices"
] | 38
|
82
|
[
"shake 50g blue nutsandbolts"
] | 107
|
83
|
[
"grasp 100g white dices"
] | 34
|
84
|
[
"push 50g yellow dices"
] | 31
|
85
|
[
"shake 50g green dices"
] | 102
|
86
|
[
"drop 150g white pasta"
] | 33
|
87
|
[
"shake 50g green nutsandbolts"
] | 144
|
88
|
[
"pick 50g red rice"
] | 28
|
89
|
[
"drop 100g blue pasta"
] | 45
|
90
|
[
"push 150g yellow dices"
] | 34
|
91
|
[
"pick 150g yellow nutsandbolts"
] | 41
|
92
|
[
"drop 100g yellow dices"
] | 44
|
93
|
[
"pick 100g red dices"
] | 41
|
94
|
[
"lower 50g yellow marbles"
] | 19
|
95
|
[
"drop 50g green dices"
] | 33
|
96
|
[
"lower 50g blue pasta"
] | 22
|
97
|
[
"push 50g white pasta"
] | 30
|
98
|
[
"grasp 50g yellow dices"
] | 31
|
99
|
[
"shake 100g blue nutsandbolts"
] | 66
|
End of preview.