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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/chuanmew/baxter_example_val_lerobot/meta/episodes_stats.jsonl (at revision 742abb27c2e62323dd3d7e64d1af0f43809813bd)
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 ({'length', 'tasks'}).
This happened while the json dataset builder was generating data using
hf://datasets/chuanmew/baxter_example_val_lerobot/meta/episodes_stats.jsonl (at revision 742abb27c2e62323dd3d7e64d1af0f43809813bd)
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
|
[
"pick 100g white dices"
] | 239
|
1
|
[
"grasp 150g green dices"
] | 203
|
2
|
[
"hold 100g yellow buttons"
] | 84
|
3
|
[
"push 150g white nutsandbolts"
] | 199
|
4
|
[
"hold 150g white marbles"
] | 100
|
5
|
[
"grasp 50g blue marbles"
] | 179
|
6
|
[
"hold 100g blue dices"
] | 82
|
7
|
[
"shake 22g yellow empty"
] | 518
|
8
|
[
"push 150g white nutsandbolts"
] | 169
|
9
|
[
"shake 100g blue marbles"
] | 573
|
10
|
[
"grasp 150g yellow rice"
] | 152
|
11
|
[
"pick 100g green marbles"
] | 219
|
12
|
[
"shake 50g yellow pasta"
] | 588
|
13
|
[
"grasp 150g white nutsandbolts"
] | 180
|
14
|
[
"push 50g green buttons"
] | 220
|
15
|
[
"grasp 50g yellow buttons"
] | 162
|
16
|
[
"grasp 150g red nutsandbolts"
] | 157
|
17
|
[
"pick 100g white pasta"
] | 235
|
18
|
[
"shake 150g red pasta"
] | 577
|
19
|
[
"lower 150g blue pasta"
] | 147
|
20
|
[
"lower 100g green buttons"
] | 140
|
21
|
[
"shake 150g yellow dices"
] | 876
|
22
|
[
"push 50g white rice"
] | 188
|
23
|
[
"shake 150g blue nutsandbolts"
] | 628
|
24
|
[
"grasp 100g red nutsandbolts"
] | 191
|
25
|
[
"drop 100g green buttons"
] | 233
|
26
|
[
"drop 150g green dices"
] | 206
|
27
|
[
"push 50g white dices"
] | 181
|
28
|
[
"shake 150g white pasta"
] | 885
|
29
|
[
"push 100g blue pasta"
] | 221
|
30
|
[
"push 150g red rice"
] | 191
|
31
|
[
"drop 100g red dices"
] | 190
|
32
|
[
"push 100g white pasta"
] | 219
|
33
|
[
"hold 22g blue empty"
] | 100
|
34
|
[
"hold 50g yellow buttons"
] | 116
|
35
|
[
"shake 150g red buttons"
] | 622
|
36
|
[
"grasp 100g blue pasta"
] | 161
|
37
|
[
"push 150g red rice"
] | 166
|
38
|
[
"push 50g yellow pasta"
] | 190
|
39
|
[
"lower 50g red rice"
] | 211
|
40
|
[
"shake 150g green pasta"
] | 677
|
41
|
[
"drop 50g white rice"
] | 250
|
42
|
[
"hold 100g red buttons"
] | 160
|
43
|
[
"lower 50g blue nutsandbolts"
] | 145
|
44
|
[
"shake 50g yellow rice"
] | 859
|
45
|
[
"shake 100g blue marbles"
] | 956
|
46
|
[
"pick 50g yellow dices"
] | 229
|
47
|
[
"push 22g green empty"
] | 200
|
48
|
[
"pick 50g white marbles"
] | 375
|
49
|
[
"push 100g yellow dices"
] | 206
|
50
|
[
"grasp 150g yellow buttons"
] | 161
|
51
|
[
"push 150g yellow rice"
] | 160
|
52
|
[
"hold 150g white rice"
] | 107
|
53
|
[
"drop 100g white pasta"
] | 239
|
54
|
[
"lower 150g red dices"
] | 135
|
55
|
[
"hold 100g red nutsandbolts"
] | 124
|
56
|
[
"shake 100g green rice"
] | 362
|
57
|
[
"hold 150g white buttons"
] | 112
|
58
|
[
"pick 100g yellow nutsandbolts"
] | 249
|
59
|
[
"drop 50g green marbles"
] | 211
|
60
|
[
"drop 50g yellow rice"
] | 205
|
61
|
[
"grasp 150g red marbles"
] | 193
|
62
|
[
"pick 100g green rice"
] | 228
|
63
|
[
"drop 100g red marbles"
] | 35
|
64
|
[
"grasp 150g white marbles"
] | 382
|
65
|
[
"pick 150g blue buttons"
] | 244
|
66
|
[
"drop 100g yellow buttons"
] | 217
|
67
|
[
"drop 150g blue marbles"
] | 205
|
68
|
[
"push 150g yellow rice"
] | 178
|
69
|
[
"pick 50g yellow pasta"
] | 248
|
70
|
[
"shake 50g blue marbles"
] | 946
|
71
|
[
"drop 100g green pasta"
] | 290
|
72
|
[
"hold 50g red buttons"
] | 151
|
73
|
[
"pick 100g green nutsandbolts"
] | 267
|
74
|
[
"grasp 100g green dices"
] | 184
|
75
|
[
"shake 100g blue pasta"
] | 667
|
76
|
[
"pick 100g green buttons"
] | 223
|
77
|
[
"shake 50g red nutsandbolts"
] | 729
|
78
|
[
"pick 150g red rice"
] | 222
|
79
|
[
"drop 50g white pasta"
] | 284
|
80
|
[
"push 150g yellow dices"
] | 124
|
81
|
[
"lower 100g green rice"
] | 123
|
82
|
[
"drop 150g yellow buttons"
] | 183
|
83
|
[
"drop 150g white buttons"
] | 184
|
84
|
[
"hold 50g red dices"
] | 79
|
85
|
[
"hold 50g blue marbles"
] | 130
|
86
|
[
"hold 50g green dices"
] | 33
|
87
|
[
"shake 50g blue nutsandbolts"
] | 645
|
88
|
[
"drop 50g yellow marbles"
] | 203
|
89
|
[
"pick 150g yellow nutsandbolts"
] | 93
|
90
|
[
"grasp 50g green dices"
] | 167
|
91
|
[
"push 22g white empty"
] | 197
|
92
|
[
"pick 100g red nutsandbolts"
] | 262
|
93
|
[
"push 50g red rice"
] | 185
|
94
|
[
"hold 100g blue pasta"
] | 95
|
95
|
[
"grasp 150g white rice"
] | 201
|
96
|
[
"shake 100g yellow dices"
] | 853
|
97
|
[
"grasp 100g red dices"
] | 164
|
98
|
[
"pick 150g red buttons"
] | 236
|
99
|
[
"hold 100g red pasta"
] | 91
|
End of preview.