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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 15 new columns ({'total_tasks', 'total_chunks', 'fps', 'features', 'total_frames', 'total_episodes', 'video_path', 'description', 'citation', 'data_path', 'codebase_version', 'total_videos', 'robot_type', 'chunks_size', 'splits'}) and 4 missing columns ({'episode_index', 'tasks', 'length', 'task_index'}).
This happened while the json dataset builder was generating data using
hf://datasets/mphielipp/CombinedCandyDataset/meta/info.json (at revision f7cc7b2a9daca982e5346900d1f7d64df47d3ba9)
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
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
total_videos: int64
total_chunks: int64
chunks_size: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, observation.image.head: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, observation.image.wrist_right: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>, index: struct<dtype: string, shape: list<item: int64>, names: null>, task_index: struct<dtype: string, shape: list<item: int64>, names: null>>
child 0, observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 1, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, it
...
ist<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 3, observation.image.wrist_right: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 4, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 5, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 6, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 7, index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 8, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
description: string
citation: string
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), 'task_index': 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 15 new columns ({'total_tasks', 'total_chunks', 'fps', 'features', 'total_frames', 'total_episodes', 'video_path', 'description', 'citation', 'data_path', 'codebase_version', 'total_videos', 'robot_type', 'chunks_size', 'splits'}) and 4 missing columns ({'episode_index', 'tasks', 'length', 'task_index'}).
This happened while the json dataset builder was generating data using
hf://datasets/mphielipp/CombinedCandyDataset/meta/info.json (at revision f7cc7b2a9daca982e5346900d1f7d64df47d3ba9)
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 | task_index
null |
|---|---|---|---|
0
|
[
"2025_04_21-10_26_19"
] | 272
| null |
1
|
[
"2025_04_21-10_27_41"
] | 252
| null |
2
|
[
"2025_04_21-10_28_31"
] | 213
| null |
3
|
[
"2025_04_21-10_29_12"
] | 198
| null |
4
|
[
"2025_04_21-10_29_45"
] | 216
| null |
5
|
[
"2025_04_21-10_30_19"
] | 239
| null |
6
|
[
"2025_04_21-10_30_57"
] | 204
| null |
7
|
[
"2025_04_21-10_31_33"
] | 209
| null |
8
|
[
"2025_04_21-10_32_09"
] | 263
| null |
9
|
[
"2025_04_21-10_32_42"
] | 235
| null |
10
|
[
"2025_04_21-10_33_17"
] | 251
| null |
11
|
[
"2025_04_21-10_33_56"
] | 262
| null |
12
|
[
"2025_04_21-10_34_30"
] | 265
| null |
13
|
[
"2025_04_21-10_35_24"
] | 235
| null |
14
|
[
"2025_04_21-10_36_00"
] | 280
| null |
15
|
[
"2025_04_21-10_36_32"
] | 247
| null |
16
|
[
"2025_04_21-10_37_13"
] | 284
| null |
17
|
[
"2025_04_21-10_37_53"
] | 419
| null |
18
|
[
"2025_04_21-10_39_27"
] | 292
| null |
19
|
[
"2025_04_21-10_41_57"
] | 245
| null |
20
|
[
"2025_04_21-10_42_34"
] | 237
| null |
21
|
[
"2025_04_21-10_43_15"
] | 257
| null |
22
|
[
"2025_04_21-10_43_52"
] | 242
| null |
23
|
[
"2025_04_21-10_44_31"
] | 234
| null |
24
|
[
"2025_04_21-10_44_58"
] | 264
| null |
25
|
[
"2025_04_21-10_45_39"
] | 248
| null |
26
|
[
"2025_04_21-10_47_11"
] | 285
| null |
27
|
[
"2025_04_21-10_47_48"
] | 257
| null |
28
|
[
"2025_04_21-10_48_40"
] | 232
| null |
29
|
[
"2025_04_21-10_49_17"
] | 274
| null |
30
|
[
"2025_04_21-10_50_05"
] | 247
| null |
31
|
[
"2025_04_21-10_50_49"
] | 294
| null |
32
|
[
"2025_04_21-10_52_05"
] | 290
| null |
33
|
[
"2025_04_21-10_52_47"
] | 274
| null |
34
|
[
"2025_04_21-10_53_54"
] | 299
| null |
35
|
[
"2025_04_21-10_54_31"
] | 297
| null |
36
|
[
"2025_04_21-10_55_21"
] | 308
| null |
37
|
[
"2025_04_21-10_55_58"
] | 312
| null |
38
|
[
"2025_04_21-10_59_39"
] | 284
| null |
39
|
[
"2025_04_21-11_00_19"
] | 256
| null |
40
|
[
"2025_04_21-11_00_49"
] | 296
| null |
41
|
[
"2025_04_21-11_01_27"
] | 270
| null |
42
|
[
"2025_04_21-11_02_16"
] | 231
| null |
43
|
[
"2025_04_21-11_03_11"
] | 238
| null |
44
|
[
"2025_04_21-11_03_51"
] | 254
| null |
45
|
[
"2025_04_21-11_04_21"
] | 311
| null |
46
|
[
"2025_04_21-11_05_47"
] | 281
| null |
47
|
[
"2025_04_21-11_06_37"
] | 287
| null |
48
|
[
"2025_04_21-11_07_20"
] | 306
| null |
49
|
[
"2025_04_21-11_09_06"
] | 300
| null |
50
|
[
"2025_04_21-11_09_54"
] | 299
| null |
51
|
[
"2025_04_21-11_10_32"
] | 278
| null |
52
|
[
"2025_04_21-11_11_13"
] | 334
| null |
53
|
[
"2025_04_21-11_12_04"
] | 317
| null |
54
|
[
"2025_04_21-11_12_44"
] | 314
| null |
55
|
[
"2025_04_21-11_13_22"
] | 318
| null |
56
|
[
"2025_04_21-11_14_07"
] | 300
| null |
57
|
[
"2025_04_21-11_18_29"
] | 310
| null |
58
|
[
"2025_04_21-11_20_18"
] | 243
| null |
59
|
[
"2025_04_21-11_20_52"
] | 245
| null |
60
|
[
"2025_04_21-11_21_26"
] | 280
| null |
61
|
[
"2025_04_21-11_22_25"
] | 281
| null |
62
|
[
"2025_04_21-11_23_05"
] | 246
| null |
63
|
[
"2025_04_21-11_23_37"
] | 228
| null |
64
|
[
"2025_04_21-11_24_10"
] | 257
| null |
65
|
[
"2025_04_21-11_26_13"
] | 278
| null |
66
|
[
"2025_04_21-11_26_42"
] | 273
| null |
67
|
[
"2025_04_21-11_27_13"
] | 257
| null |
68
|
[
"2025_04_21-11_27_48"
] | 265
| null |
69
|
[
"2025_04_21-11_28_25"
] | 252
| null |
70
|
[
"2025_04_21-11_29_27"
] | 275
| null |
71
|
[
"2025_04_21-11_30_02"
] | 286
| null |
72
|
[
"2025_04_21-11_30_33"
] | 281
| null |
73
|
[
"2025_04_21-11_31_05"
] | 285
| null |
74
|
[
"2025_04_21-11_31_43"
] | 301
| null |
75
|
[
"2025_04_21-11_32_18"
] | 297
| null |
76
|
[
"2025_04_21-11_35_22"
] | 257
| null |
77
|
[
"2025_04_21-11_36_08"
] | 264
| null |
78
|
[
"2025_04_21-11_36_40"
] | 271
| null |
79
|
[
"2025_04_21-11_37_56"
] | 250
| null |
80
|
[
"2025_04_21-11_38_27"
] | 257
| null |
81
|
[
"2025_04_21-11_39_00"
] | 249
| null |
82
|
[
"2025_04_21-11_39_29"
] | 227
| null |
83
|
[
"2025_04_21-11_40_01"
] | 242
| null |
84
|
[
"2025_04_21-11_41_11"
] | 239
| null |
85
|
[
"2025_04_21-11_41_51"
] | 267
| null |
86
|
[
"2025_04_21-11_42_24"
] | 263
| null |
87
|
[
"2025_04_21-11_43_23"
] | 298
| null |
88
|
[
"2025_04_21-11_44_03"
] | 290
| null |
89
|
[
"2025_04_21-11_44_47"
] | 265
| null |
90
|
[
"2025_04_21-11_45_25"
] | 253
| null |
91
|
[
"2025_04_21-11_46_15"
] | 295
| null |
92
|
[
"2025_04_21-11_46_51"
] | 266
| null |
93
|
[
"2025_04_21-11_47_22"
] | 264
| null |
94
|
[
"2025_04_21-11_47_52"
] | 281
| null |
95
|
[
"2025_04_21-11_50_55"
] | 295
| null |
96
|
[
"2025_04_21-11_52_21"
] | 232
| null |
97
|
[
"2025_04_21-11_52_55"
] | 259
| null |
98
|
[
"2025_04_21-11_53_23"
] | 265
| null |
99
|
[
"2025_04_21-11_53_54"
] | 221
| null |
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