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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_lerobot/meta/episodes_stats.jsonl (at revision 65c7dbbc0b238cf105254882f5314c7432e530f9)

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_lerobot/meta/episodes_stats.jsonl (at revision 65c7dbbc0b238cf105254882f5314c7432e530f9)
              
              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
[ "lower 50g red dices" ]
172
1
[ "pick 50g red rice" ]
244
2
[ "shake 150g red buttons" ]
702
3
[ "grasp 150g red dices" ]
209
4
[ "hold 150g yellow nutsandbolts" ]
115
5
[ "push 50g blue rice" ]
204
6
[ "pick 100g white rice" ]
220
7
[ "push 100g blue dices" ]
216
8
[ "grasp 100g white marbles" ]
146
9
[ "grasp 150g blue buttons" ]
203
10
[ "pick 100g red marbles" ]
222
11
[ "drop 150g green buttons" ]
190
12
[ "lower 150g blue marbles" ]
138
13
[ "hold 100g green pasta" ]
121
14
[ "drop 50g red rice" ]
211
15
[ "drop 100g green pasta" ]
251
16
[ "drop 50g yellow nutsandbolts" ]
199
17
[ "push 150g yellow pasta" ]
188
18
[ "push 22g white empty" ]
199
19
[ "hold 150g white nutsandbolts" ]
95
20
[ "drop 100g green pasta" ]
217
21
[ "push 50g yellow buttons" ]
192
22
[ "lower 50g green marbles" ]
62
23
[ "pick 50g blue marbles" ]
190
24
[ "grasp 50g yellow pasta" ]
154
25
[ "shake 50g blue nutsandbolts" ]
579
26
[ "shake 100g yellow rice" ]
458
27
[ "pick 50g red dices" ]
217
28
[ "shake 50g yellow nutsandbolts" ]
596
29
[ "shake 150g white rice" ]
865
30
[ "push 150g blue rice" ]
172
31
[ "lower 150g red marbles" ]
150
32
[ "grasp 150g yellow marbles" ]
160
33
[ "drop 50g yellow pasta" ]
208
34
[ "grasp 100g white pasta" ]
186
35
[ "lower 50g yellow nutsandbolts" ]
118
36
[ "drop 50g green rice" ]
247
37
[ "pick 50g blue marbles" ]
235
38
[ "drop 100g white rice" ]
183
39
[ "hold 150g yellow rice" ]
80
40
[ "pick 22g red empty" ]
252
41
[ "hold 100g red buttons" ]
101
42
[ "shake 22g red empty" ]
896
43
[ "push 100g blue dices" ]
190
44
[ "pick 150g green nutsandbolts" ]
223
45
[ "lower 100g red dices" ]
155
46
[ "hold 50g yellow dices" ]
132
47
[ "hold 50g red nutsandbolts" ]
89
48
[ "shake 50g blue marbles" ]
833
49
[ "hold 100g green pasta" ]
77
50
[ "shake 100g green nutsandbolts" ]
837
51
[ "shake 150g white marbles" ]
372
52
[ "grasp 100g white buttons" ]
188
53
[ "push 100g yellow marbles" ]
180
54
[ "grasp 150g white marbles" ]
205
55
[ "grasp 50g green rice" ]
156
56
[ "drop 100g white marbles" ]
230
57
[ "push 100g green marbles" ]
167
58
[ "hold 150g yellow marbles" ]
105
59
[ "lower 50g red nutsandbolts" ]
123
60
[ "drop 50g red rice" ]
218
61
[ "drop 50g blue nutsandbolts" ]
194
62
[ "pick 150g blue rice" ]
205
63
[ "drop 150g blue dices" ]
195
64
[ "pick 100g red pasta" ]
235
65
[ "hold 50g yellow rice" ]
101
66
[ "pick 50g red rice" ]
174
67
[ "hold 100g blue marbles" ]
90
68
[ "lower 50g red nutsandbolts" ]
155
69
[ "pick 100g white rice" ]
249
70
[ "push 100g white pasta" ]
222
71
[ "grasp 100g white marbles" ]
174
72
[ "pick 100g white nutsandbolts" ]
221
73
[ "shake 100g blue rice" ]
788
74
[ "hold 50g green marbles" ]
96
75
[ "shake 100g white rice" ]
466
76
[ "shake 50g blue marbles" ]
721
77
[ "grasp 100g red marbles" ]
161
78
[ "drop 50g blue nutsandbolts" ]
251
79
[ "drop 150g blue buttons" ]
222
80
[ "pick 150g green buttons" ]
218
81
[ "drop 50g green nutsandbolts" ]
176
82
[ "lower 150g green nutsandbolts" ]
156
83
[ "pick 100g yellow pasta" ]
205
84
[ "pick 100g yellow buttons" ]
259
85
[ "push 150g green nutsandbolts" ]
158
86
[ "lower 150g white marbles" ]
386
87
[ "hold 100g white dices" ]
132
88
[ "shake 22g yellow empty" ]
866
89
[ "hold 150g yellow dices" ]
121
90
[ "hold 150g blue rice" ]
81
91
[ "drop 100g green rice" ]
201
92
[ "shake 100g white buttons" ]
616
93
[ "drop 100g red dices" ]
192
94
[ "shake 100g yellow dices" ]
804
95
[ "push 50g red nutsandbolts" ]
202
96
[ "grasp 50g green buttons" ]
201
97
[ "lower 150g yellow marbles" ]
124
98
[ "pick 50g red pasta" ]
218
99
[ "shake 100g white pasta" ]
741
End of preview.