Hugging Face's logo

Datasets:
smilegeng
/
g1_humanoid_everyday

Tasks:
Robotics
Modalities:
Time-series
Tags:
time-series
tsfile
robotics
lerobot
hex
humanoid
Dataset card Data Studio Files
xet
 Community
Dataset Preview
Duplicate
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
episode_index: int64
stats: struct<action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, st (... 487 chars omitted)
  child 0, action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 83 chars omitted)
      child 0, min: list<item: double>
          child 0, item: double
      child 1, max: list<item: double>
          child 0, item: double
      child 2, mean: list<item: double>
          child 0, item: double
      child 3, std: list<item: double>
          child 0, item: double
      child 4, q01: list<item: double>
          child 0, item: double
      child 5, q99: list<item: double>
          child 0, item: double
      child 6, count: list<item: int64>
          child 0, item: int64
  child 1, timestamp: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 83 chars omitted)
      child 0, min: list<item: double>
          child 0, item: double
      child 1, max: list<item: double>
          child 0, item: double
      child 2, mean: list<item: double>
          child 0, item: double
      child 3, std: list<item: double>
          child 0, item: double
      child 4, q01: list<item: double>
          child 0, item: double
      child 5, q99: list<item: double>
          child 0, item: double
      child 6, count: list<item: int64>
          child 0, item: int64
  child 2, state: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 83 chars omitted)
      child 0, min: list<item: double>
          child 0, item: double
      child 1, max: list<item: double>
          child 0, item: double
      child 2, mean: list<item: double>
          child 0, item: double
      child 3, std: list<item: double>
          child 0, item: double
      child 4, q01: list<item: double>
          child 0, item: double
      child 5, q99: list<item: double>
          child 0, item: double
      child 6, count: list<item: int64>
          child 0, item: int64
dataset_from_index: int64
dataset_to_index: int64
tasks: list<item: int64>
  child 0, item: int64
instruction: string
robot_type: string
length: int64
to
{'episode_index': Value('int64'), 'tasks': List(Value('int64')), 'length': Value('int64'), 'dataset_from_index': Value('int64'), 'dataset_to_index': Value('int64'), 'robot_type': Value('string'), 'instruction': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/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 611, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              episode_index: int64
              stats: struct<action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, st (... 487 chars omitted)
                child 0, action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 83 chars omitted)
                    child 0, min: list<item: double>
                        child 0, item: double
                    child 1, max: list<item: double>
                        child 0, item: double
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, q01: list<item: double>
                        child 0, item: double
                    child 5, q99: list<item: double>
                        child 0, item: double
                    child 6, count: list<item: int64>
                        child 0, item: int64
                child 1, timestamp: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 83 chars omitted)
                    child 0, min: list<item: double>
                        child 0, item: double
                    child 1, max: list<item: double>
                        child 0, item: double
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, q01: list<item: double>
                        child 0, item: double
                    child 5, q99: list<item: double>
                        child 0, item: double
                    child 6, count: list<item: int64>
                        child 0, item: int64
                child 2, state: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 83 chars omitted)
                    child 0, min: list<item: double>
                        child 0, item: double
                    child 1, max: list<item: double>
                        child 0, item: double
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, q01: list<item: double>
                        child 0, item: double
                    child 5, q99: list<item: double>
                        child 0, item: double
                    child 6, count: list<item: int64>
                        child 0, item: int64
              dataset_from_index: int64
              dataset_to_index: int64
              tasks: list<item: int64>
                child 0, item: int64
              instruction: string
              robot_type: string
              length: int64
              to
              {'episode_index': Value('int64'), 'tasks': List(Value('int64')), 'length': Value('int64'), 'dataset_from_index': Value('int64'), 'dataset_to_index': Value('int64'), 'robot_type': Value('string'), 'instruction': Value('string')}
              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 1361, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 940, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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
dataset_from_index
int64
dataset_to_index
int64
robot_type
string
instruction
string
0
[ 0 ]
515
0
514
g1
1
[ 0 ]
377
515
891
g1
2
[ 0 ]
361
892
1,252
g1
3
[ 0 ]
532
1,253
1,784
g1
4
[ 0 ]
343
1,785
2,127
g1
5
[ 0 ]
358
2,128
2,485
g1
6
[ 0 ]
397
2,486
2,882
g1
7
[ 0 ]
335
2,883
3,217
g1
8
[ 0 ]
387
3,218
3,604
g1
9
[ 0 ]
451
3,605
4,055
g1
10
[ 0 ]
333
4,056
4,388
g1
11
[ 0 ]
406
4,389
4,794
g1
12
[ 0 ]
322
4,795
5,116
g1
13
[ 0 ]
439
5,117
5,555
g1
14
[ 0 ]
343
5,556
5,898
g1
15
[ 0 ]
366
5,899
6,264
g1
16
[ 0 ]
420
6,265
6,684
g1
17
[ 0 ]
445
6,685
7,129
g1
18
[ 0 ]
378
7,130
7,507
g1
19
[ 0 ]
351
7,508
7,858
g1
20
[ 0 ]
387
7,859
8,245
g1
21
[ 0 ]
388
8,246
8,633
g1
22
[ 0 ]
389
8,634
9,022
g1
23
[ 0 ]
429
9,023
9,451
g1
24
[ 0 ]
335
9,452
9,786
g1
25
[ 0 ]
369
9,787
10,155
g1
26
[ 0 ]
297
10,156
10,452
g1
27
[ 0 ]
396
10,453
10,848
g1
28
[ 0 ]
398
10,849
11,246
g1
29
[ 0 ]
398
11,247
11,644
g1
30
[ 0 ]
310
11,645
11,954
g1
31
[ 0 ]
378
11,955
12,332
g1
32
[ 0 ]
339
12,333
12,671
g1
33
[ 0 ]
298
12,672
12,969
g1
34
[ 0 ]
401
12,970
13,370
g1
35
[ 0 ]
331
13,371
13,701
g1
36
[ 0 ]
326
13,702
14,027
g1
37
[ 0 ]
310
14,028
14,337
g1
38
[ 0 ]
373
14,338
14,710
g1
39
[ 5 ]
277
14,711
14,987
g1
40
[ 5 ]
290
14,988
15,277
g1
41
[ 5 ]
234
15,278
15,511
g1
42
[ 5 ]
291
15,512
15,802
g1
43
[ 5 ]
260
15,803
16,062
g1
44
[ 5 ]
304
16,063
16,366
g1
45
[ 5 ]
239
16,367
16,605
g1
46
[ 5 ]
293
16,606
16,898
g1
47
[ 5 ]
255
16,899
17,153
g1
48
[ 5 ]
303
17,154
17,456
g1
49
[ 5 ]
315
17,457
17,771
g1
50
[ 5 ]
281
17,772
18,052
g1
51
[ 5 ]
322
18,053
18,374
g1
52
[ 5 ]
313
18,375
18,687
g1
53
[ 5 ]
223
18,688
18,910
g1
54
[ 5 ]
243
18,911
19,153
g1
55
[ 5 ]
285
19,154
19,438
g1
56
[ 5 ]
252
19,439
19,690
g1
57
[ 5 ]
225
19,691
19,915
g1
58
[ 5 ]
215
19,916
20,130
g1
59
[ 5 ]
187
20,131
20,317
g1
60
[ 5 ]
184
20,318
20,501
g1
61
[ 5 ]
202
20,502
20,703
g1
62
[ 5 ]
242
20,704
20,945
g1
63
[ 5 ]
223
20,946
21,168
g1
64
[ 5 ]
216
21,169
21,384
g1
65
[ 5 ]
209
21,385
21,593
g1
66
[ 5 ]
237
21,594
21,830
g1
67
[ 5 ]
237
21,831
22,067
g1
68
[ 5 ]
213
22,068
22,280
g1
69
[ 5 ]
289
22,281
22,569
g1
70
[ 5 ]
275
22,570
22,844
g1
71
[ 5 ]
224
22,845
23,068
g1
72
[ 5 ]
311
23,069
23,379
g1
73
[ 5 ]
232
23,380
23,611
g1
74
[ 5 ]
290
23,612
23,901
g1
75
[ 5 ]
243
23,902
24,144
g1
76
[ 5 ]
242
24,145
24,386
g1
77
[ 5 ]
223
24,387
24,609
g1
78
[ 5 ]
199
24,610
24,808
g1
79
[ 7 ]
207
24,809
25,015
g1
80
[ 7 ]
173
25,016
25,188
g1
81
[ 7 ]
248
25,189
25,436
g1
82
[ 7 ]
225
25,437
25,661
g1
83
[ 7 ]
205
25,662
25,866
g1
84
[ 7 ]
271
25,867
26,137
g1
85
[ 7 ]
163
26,138
26,300
g1
86
[ 7 ]
174
26,301
26,474
g1
87
[ 7 ]
204
26,475
26,678
g1
88
[ 7 ]
221
26,679
26,899
g1
89
[ 7 ]
217
26,900
27,116
g1
90
[ 7 ]
263
27,117
27,379
g1
91
[ 7 ]
184
27,380
27,563
g1
92
[ 7 ]
260
27,564
27,823
g1
93
[ 7 ]
183
27,824
28,006
g1
94
[ 7 ]
189
28,007
28,195
g1
95
[ 7 ]
234
28,196
28,429
g1
96
[ 7 ]
226
28,430
28,655
g1
97
[ 7 ]
239
28,656
28,894
g1
98
[ 7 ]
217
28,895
29,111
g1
99
[ 7 ]
278
29,112
29,389
g1
End of preview.

g1_humanoid_everyday

This dataset converts the numeric time-series from the g1_humanoid_everyday subset of X-Humanoid/HEX-Datasets to Apache TsFile format.

Dataset Description

The source subset is a LeRobot-format humanoid robot dataset published by X-Humanoid. It contains everyday manipulation tasks collected with robot type g1.

Converted Data

  • One TsFile: data/g1_humanoid_everyday.tsfile
  • Table name: g1_humanoid_everyday
  • 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
  • observation.state[43] is flattened to observation_state_0..observation_state_42
  • action[28] is flattened to action_0..action_27
  • Scalar next.done is renamed to next_done
  • Aside from the redundant source timestamp column noted above, no source time-series columns or rows are dropped

Videos

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

https://huggingface.co/datasets/X-Humanoid/HEX-Datasets/tree/main/g1_humanoid_everyday/videos

Use episode_index, frame_index, and Time to align TsFile rows with the original videos.
Downloads last month
39
Total file size:
457 MB