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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/ljp_qiwu_banana_lerobot/meta/episodes_stats.jsonl (at revision 5f9f07f986313f6c209f7616b2531b496a5aa2d0)

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.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>>, observation.images.cam_high: 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.images.cam_left_wrist: 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.images.cam_right_wrist: 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>>, 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<it
              ...
              _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 8, 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 9, 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/ljp_qiwu_banana_lerobot/meta/episodes_stats.jsonl (at revision 5f9f07f986313f6c209f7616b2531b496a5aa2d0)
              
              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
[ "Put the yellow banana into the blue basin" ]
188
1
[ "Put the yellow banana into the blue basin" ]
205
2
[ "Put the yellow banana into the blue basin" ]
208
3
[ "Put the yellow banana into the blue basin" ]
289
4
[ "Put the yellow banana into the blue basin" ]
218
5
[ "Put the yellow banana into the blue basin" ]
293
6
[ "Put the yellow banana into the blue basin" ]
188
7
[ "Put the yellow banana into the blue basin" ]
205
8
[ "Put the yellow banana into the blue basin" ]
208
9
[ "Put the yellow banana into the blue basin" ]
289
10
[ "Put the yellow banana into the blue basin" ]
218
11
[ "Put the yellow banana into the blue basin" ]
293
12
[ "Put the yellow banana into the blue basin" ]
179
13
[ "Put the yellow banana into the blue basin" ]
226
14
[ "Put the yellow banana into the blue basin" ]
241
15
[ "Put the yellow banana into the blue basin" ]
223
16
[ "Put the yellow banana into the blue basin" ]
230
17
[ "Put the yellow banana into the blue basin" ]
238
18
[ "Put the yellow banana into the blue basin" ]
168
19
[ "Put the yellow banana into the blue basin" ]
240
20
[ "Put the yellow banana into the blue basin" ]
297
21
[ "Put the yellow banana into the blue basin" ]
191
22
[ "Put the yellow banana into the blue basin" ]
240
23
[ "Put the yellow banana into the blue basin" ]
244
24
[ "Put the yellow banana into the blue basin" ]
239
25
[ "Put the yellow banana into the blue basin" ]
182
26
[ "Put the yellow banana into the blue basin" ]
216
27
[ "Put the yellow banana into the blue basin" ]
278
28
[ "Put the yellow banana into the blue basin" ]
209
29
[ "Put the yellow banana into the blue basin" ]
292
30
[ "Put the yellow banana into the blue basin" ]
345
31
[ "Put the yellow banana into the blue basin" ]
200
32
[ "Put the yellow banana into the blue basin" ]
265
33
[ "Put the yellow banana into the blue basin" ]
325
34
[ "Put the yellow banana into the blue basin" ]
307
35
[ "Put the yellow banana into the blue basin" ]
239
36
[ "Put the yellow banana into the blue basin" ]
309
37
[ "Put the yellow banana into the blue basin" ]
221
38
[ "Put the yellow banana into the blue basin" ]
220
39
[ "Put the yellow banana into the blue basin" ]
217
40
[ "Put the yellow banana into the blue basin" ]
237
41
[ "Put the yellow banana into the blue basin" ]
224
42
[ "Put the yellow banana into the blue basin" ]
236
43
[ "Put the yellow banana into the blue basin" ]
236
44
[ "Put the yellow banana into the blue basin" ]
275
45
[ "Put the yellow banana into the blue basin" ]
245
46
[ "Put the yellow banana into the blue basin" ]
192
47
[ "Put the yellow banana into the blue basin" ]
238
48
[ "Put the yellow banana into the blue basin" ]
259
49
[ "Put the yellow banana into the blue basin" ]
206
50
[ "Put the yellow banana into the blue basin" ]
238
51
[ "Put the yellow banana into the blue basin" ]
228
52
[ "Put the yellow banana into the blue basin" ]
331
53
[ "Put the yellow banana into the blue basin" ]
214
54
[ "Put the yellow banana into the blue basin" ]
243
55
[ "Put the yellow banana into the blue basin" ]
264
56
[ "Put the yellow banana into the blue basin" ]
256
57
[ "Put the yellow banana into the blue basin" ]
244
58
[ "Put the yellow banana into the blue basin" ]
159
59
[ "Put the yellow banana into the blue basin" ]
205
60
[ "Put the yellow banana into the blue basin" ]
173
61
[ "Put the yellow banana into the blue basin" ]
358
62
[ "Put the yellow banana into the blue basin" ]
183
63
[ "Put the yellow banana into the blue basin" ]
298
64
[ "Put the yellow banana into the blue basin" ]
253
65
[ "Put the yellow banana into the blue basin" ]
255
66
[ "Put the yellow banana into the blue basin" ]
297
67
[ "Put the yellow banana into the blue basin" ]
272
68
[ "Put the yellow banana into the blue basin" ]
278
69
[ "Put the yellow banana into the blue basin" ]
303
70
[ "Put the yellow banana into the blue basin" ]
218
71
[ "Put the yellow banana into the blue basin" ]
272
72
[ "Put the yellow banana into the blue basin" ]
289
73
[ "Put the yellow banana into the blue basin" ]
415
74
[ "Put the yellow banana into the blue basin" ]
372
75
[ "Put the yellow banana into the blue basin" ]
364
76
[ "Put the yellow banana into the blue basin" ]
357
77
[ "Put the yellow banana into the blue basin" ]
357
78
[ "Put the yellow banana into the blue basin" ]
242
79
[ "Put the yellow banana into the blue basin" ]
305
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End of preview.