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Datasets:
smilegeng
/
PND_Adam-U_pull-wheel

Tasks:
Robotics
Modalities:
Time-series
ArXiv:
Tags:
lerobot
vla
time-series
tsfile
robotics
timeseries
License:
Dataset card Data Studio Files
xet
 Community
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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
codebase_version: string
data_path: string
fps: int64
chunks_size: int64
total_episodes: int64
total_frames: int64
total_tasks: int64
total_videos: int64
total_chunks: int64
splits: struct<train: string>
  child 0, train: string
features: struct<Time: struct<dtype: string, shape: list<item: int64>, tsfile_role: string, unit: string>, epi (... 5673 chars omitted)
  child 0, Time: struct<dtype: string, shape: list<item: int64>, tsfile_role: string, unit: string>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, tsfile_role: string
      child 3, unit: string
  child 1, episode_index: struct<dtype: string, shape: list<item: int64>, tsfile_role: string>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, tsfile_role: string
  child 2, task_index: struct<dtype: string, shape: list<item: int64>, tsfile_role: string>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, tsfile_role: string
  child 3, frame_index: struct<dtype: string, shape: list<item: int64>, tsfile_role: string>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, tsfile_role: string
  child 4, sample_index: struct<dtype: string, shape: list<item: int64>, tsfile_role: string>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item:
...
int64>
          child 0, item: int64
      child 2, tsfile_role: string
robot_type: string
video_path_original: string
tsfile_conversion: struct<source_dataset: string, source_data_path: string, converted_data_path: string, table_name: st (... 515 chars omitted)
  child 0, source_dataset: string
  child 1, source_data_path: string
  child 2, converted_data_path: string
  child 3, table_name: string
  child 4, granularity: string
  child 5, time_precision: string
  child 6, time_mapping: struct<source: string, fps: double, unit: string>
      child 0, source: string
      child 1, fps: double
      child 2, unit: string
  child 7, tag_columns: list<item: string>
      child 0, item: string
  child 8, row_count: int64
  child 9, feature_source: string
  child 10, flattened_features: struct<observation.state: list<item: string>, action: list<item: string>>
      child 0, observation.state: list<item: string>
          child 0, item: string
      child 1, action: list<item: string>
          child 0, item: string
  child 11, renamed_features: struct<index: string>
      child 0, index: string
  child 12, dropped_features: list<item: string>
      child 0, item: string
  child 13, omitted_features: list<item: null>
      child 0, item: null
  child 14, original_video_path: string
  child 15, original_video_features: struct<>
  child 16, original_video_source: null
  child 17, video_policy: string
length: int64
tasks: list<item: string>
  child 0, item: string
episode_index: int64
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              codebase_version: string
              data_path: string
              fps: int64
              chunks_size: int64
              total_episodes: int64
              total_frames: int64
              total_tasks: int64
              total_videos: int64
              total_chunks: int64
              splits: struct<train: string>
                child 0, train: string
              features: struct<Time: struct<dtype: string, shape: list<item: int64>, tsfile_role: string, unit: string>, epi (... 5673 chars omitted)
                child 0, Time: struct<dtype: string, shape: list<item: int64>, tsfile_role: string, unit: string>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, tsfile_role: string
                    child 3, unit: string
                child 1, episode_index: struct<dtype: string, shape: list<item: int64>, tsfile_role: string>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, tsfile_role: string
                child 2, task_index: struct<dtype: string, shape: list<item: int64>, tsfile_role: string>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, tsfile_role: string
                child 3, frame_index: struct<dtype: string, shape: list<item: int64>, tsfile_role: string>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, tsfile_role: string
                child 4, sample_index: struct<dtype: string, shape: list<item: int64>, tsfile_role: string>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item:
              ...
              int64>
                        child 0, item: int64
                    child 2, tsfile_role: string
              robot_type: string
              video_path_original: string
              tsfile_conversion: struct<source_dataset: string, source_data_path: string, converted_data_path: string, table_name: st (... 515 chars omitted)
                child 0, source_dataset: string
                child 1, source_data_path: string
                child 2, converted_data_path: string
                child 3, table_name: string
                child 4, granularity: string
                child 5, time_precision: string
                child 6, time_mapping: struct<source: string, fps: double, unit: string>
                    child 0, source: string
                    child 1, fps: double
                    child 2, unit: string
                child 7, tag_columns: list<item: string>
                    child 0, item: string
                child 8, row_count: int64
                child 9, feature_source: string
                child 10, flattened_features: struct<observation.state: list<item: string>, action: list<item: string>>
                    child 0, observation.state: list<item: string>
                        child 0, item: string
                    child 1, action: list<item: string>
                        child 0, item: string
                child 11, renamed_features: struct<index: string>
                    child 0, index: string
                child 12, dropped_features: list<item: string>
                    child 0, item: string
                child 13, omitted_features: list<item: null>
                    child 0, item: null
                child 14, original_video_path: string
                child 15, original_video_features: struct<>
                child 16, original_video_source: null
                child 17, video_policy: string
              length: int64
              tasks: list<item: string>
                child 0, item: string
              episode_index: int64
              to
              {'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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
list
length
int64
0
[ "Pull the pin out of the wheel hub." ]
363
1
[ "Pull the pin out of the wheel hub." ]
279
2
[ "Pull the pin out of the wheel hub." ]
333
3
[ "Pull the pin out of the wheel hub." ]
280
4
[ "Pull the pin out of the wheel hub." ]
254
5
[ "Pull the pin out of the wheel hub." ]
226
6
[ "Pull the pin out of the wheel hub." ]
280
7
[ "Pull the pin out of the wheel hub." ]
203
8
[ "Pull the pin out of the wheel hub." ]
314
9
[ "Pull the pin out of the wheel hub." ]
170
10
[ "Pull the pin out of the wheel hub." ]
179
11
[ "Pull the pin out of the wheel hub." ]
202
12
[ "Pull the pin out of the wheel hub." ]
306
13
[ "Pull the pin out of the wheel hub." ]
451
14
[ "Pull the pin out of the wheel hub." ]
280
15
[ "Pull the pin out of the wheel hub." ]
207
16
[ "Pull the pin out of the wheel hub." ]
218
17
[ "Pull the pin out of the wheel hub." ]
251
18
[ "Pull the pin out of the wheel hub." ]
314
19
[ "Pull the pin out of the wheel hub." ]
307
20
[ "Pull the pin out of the wheel hub." ]
219
21
[ "Pull the pin out of the wheel hub." ]
230
22
[ "Pull the pin out of the wheel hub." ]
168
23
[ "Pull the pin out of the wheel hub." ]
291
24
[ "Pull the pin out of the wheel hub." ]
266
25
[ "Pull the pin out of the wheel hub." ]
284
26
[ "Pull the pin out of the wheel hub." ]
310
27
[ "Pull the pin out of the wheel hub." ]
264
28
[ "Pull the pin out of the wheel hub." ]
250
29
[ "Pull the pin out of the wheel hub." ]
565
30
[ "Pull the pin out of the wheel hub." ]
312
31
[ "Pull the pin out of the wheel hub." ]
297
32
[ "Pull the pin out of the wheel hub." ]
283
33
[ "Pull the pin out of the wheel hub." ]
220
34
[ "Pull the pin out of the wheel hub." ]
248
35
[ "Pull the pin out of the wheel hub." ]
194
36
[ "Pull the pin out of the wheel hub." ]
249
37
[ "Pull the pin out of the wheel hub." ]
237
38
[ "Pull the pin out of the wheel hub." ]
333
39
[ "Pull the pin out of the wheel hub." ]
556
40
[ "Pull the pin out of the wheel hub." ]
293
41
[ "Pull the pin out of the wheel hub." ]
257
42
[ "Pull the pin out of the wheel hub." ]
348
43
[ "Pull the pin out of the wheel hub." ]
235
44
[ "Pull the pin out of the wheel hub." ]
280
45
[ "Pull the pin out of the wheel hub." ]
233
46
[ "Pull the pin out of the wheel hub." ]
255
47
[ "Pull the pin out of the wheel hub." ]
250
48
[ "Pull the pin out of the wheel hub." ]
270
49
[ "Pull the pin out of the wheel hub." ]
250
50
[ "Pull the pin out of the wheel hub." ]
308
51
[ "Pull the pin out of the wheel hub." ]
334
52
[ "Pull the pin out of the wheel hub." ]
359
53
[ "Pull the pin out of the wheel hub." ]
233
54
[ "Pull the pin out of the wheel hub." ]
323
55
[ "Pull the pin out of the wheel hub." ]
331
56
[ "Pull the pin out of the wheel hub." ]
226
57
[ "Pull the pin out of the wheel hub." ]
211
58
[ "Pull the pin out of the wheel hub." ]
329
59
[ "Pull the pin out of the wheel hub." ]
312
60
[ "Pull the pin out of the wheel hub." ]
266
61
[ "Pull the pin out of the wheel hub." ]
254
62
[ "Pull the pin out of the wheel hub." ]
353
63
[ "Pull the pin out of the wheel hub." ]
185
64
[ "Pull the pin out of the wheel hub." ]
215
65
[ "Pull the pin out of the wheel hub." ]
263
66
[ "Pull the pin out of the wheel hub." ]
290
67
[ "Pull the pin out of the wheel hub." ]
255
68
[ "Pull the pin out of the wheel hub." ]
227
69
[ "Pull the pin out of the wheel hub." ]
235
70
[ "Pull the pin out of the wheel hub." ]
205
71
[ "Pull the pin out of the wheel hub." ]
288
72
[ "Pull the pin out of the wheel hub." ]
253
73
[ "Pull the pin out of the wheel hub." ]
250
74
[ "Pull the pin out of the wheel hub." ]
243
75
[ "Pull the pin out of the wheel hub." ]
203
76
[ "Pull the pin out of the wheel hub." ]
284
77
[ "Pull the pin out of the wheel hub." ]
230
78
[ "Pull the pin out of the wheel hub." ]
210
79
[ "Pull the pin out of the wheel hub." ]
217
80
[ "Pull the pin out of the wheel hub." ]
208
81
[ "Pull the pin out of the wheel hub." ]
218
82
[ "Pull the pin out of the wheel hub." ]
243
83
[ "Pull the pin out of the wheel hub." ]
354
84
[ "Pull the pin out of the wheel hub." ]
242
85
[ "Pull the pin out of the wheel hub." ]
143
86
[ "Pull the pin out of the wheel hub." ]
372
87
[ "Pull the pin out of the wheel hub." ]
199
88
[ "Pull the pin out of the wheel hub." ]
218
89
[ "Pull the pin out of the wheel hub." ]
218
90
[ "Pull the pin out of the wheel hub." ]
187
91
[ "Pull the pin out of the wheel hub." ]
240
92
[ "Pull the pin out of the wheel hub." ]
210
93
[ "Pull the pin out of the wheel hub." ]
193
94
[ "Pull the pin out of the wheel hub." ]
192
95
[ "Pull the pin out of the wheel hub." ]
172
96
[ "Pull the pin out of the wheel hub." ]
265
97
[ "Pull the pin out of the wheel hub." ]
162
98
[ "Pull the pin out of the wheel hub." ]
185
99
[ "Pull the pin out of the wheel hub." ]
211
End of preview.

pnd_adam_u_pull_wheel

This dataset converts the numeric time-series from BeingBeyond/PND_Adam-U_pull-wheel to Apache TsFile format.

Dataset Description

The source dataset is part of the training data for Being-H0.5 and was produced by BeingBeyond. The source dataset card identifies it as a LeRobot/VLA robotics dataset and uses the CC BY 4.0 license.

Converted Data

  • One TsFile: data/pnd_adam_u_pull_wheel.tsfile
  • Table name: pnd_adam_u_pull_wheel
  • TAG columns: episode_index, task_index
  • Time: round(timestamp * 1000) milliseconds
  • Source timestamp is used to synthesize Time and is not retained as a separate field
  • frame_index is retained
  • index is renamed to sample_index
  • observation.state[31] is flattened to observation_state_0..observation_state_30
  • action[31] is flattened to action_0..action_30
  • Videos are not uploaded to this repository; they remain in the original HuggingFace dataset under videos/

Videos

Video files are not included in this converted TsFile repository. The original videos remain in the source HuggingFace dataset:

https://huggingface.co/datasets/BeingBeyond/PND_Adam-U_pull-wheel/tree/main/videos

Use episode_index, frame_index, and Time to align TsFile rows with the original videos.
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Paper for smilegeng/PND_Adam-U_pull-wheel