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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 2 new columns ({'num_frames', 'frames'}) and 6 missing columns ({'index', 'action', 'task_index', 'frame_index', 'timestamp', 'observation.state'}).
This happened while the json dataset builder was generating data using
hf://datasets/DanqingZ/my-cleaned-dataset-multiframe/episode_000000/frames.json (at revision a9ab67a282673578329b69e34f24c6d6c7d5a0bb)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
episode_index: int64
num_frames: int64
frames: list<item: struct<action: list<item: double>, observation.state: list<item: double>, timestamp: double, frame_index: int64, episode_index: int64, index: int64, task_index: int64>>
child 0, item: struct<action: list<item: double>, observation.state: list<item: double>, timestamp: double, frame_index: int64, episode_index: int64, index: int64, task_index: int64>
child 0, action: list<item: double>
child 0, item: double
child 1, observation.state: list<item: double>
child 0, item: double
child 2, timestamp: double
child 3, frame_index: int64
child 4, episode_index: int64
child 5, index: int64
child 6, task_index: int64
to
{'action': List(Value('float64')), 'observation.state': List(Value('float64')), 'timestamp': Value('float64'), 'frame_index': Value('int64'), 'episode_index': Value('int64'), 'index': Value('int64'), 'task_index': Value('int64')}
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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 2 new columns ({'num_frames', 'frames'}) and 6 missing columns ({'index', 'action', 'task_index', 'frame_index', 'timestamp', 'observation.state'}).
This happened while the json dataset builder was generating data using
hf://datasets/DanqingZ/my-cleaned-dataset-multiframe/episode_000000/frames.json (at revision a9ab67a282673578329b69e34f24c6d6c7d5a0bb)
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.
action list | observation.state list | timestamp float64 | frame_index int64 | episode_index int64 | index int64 | task_index int64 |
|---|---|---|---|---|---|---|
[
-4.482421875,
189.580078125,
175.869140625,
46.58203125,
-0.263671875,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
44.82421875,
0.17578125,
-3.59375
] | 0 | 0 | 0 | 0 | 0 |
[
-4.658203125,
189.580078125,
175.869140625,
46.58203125,
-0.439453125,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
45.52734375,
0.17578125,
-3.59375
] | 0.033333 | 1 | 0 | 1 | 0 |
[
-4.658203125,
189.580078125,
175.869140625,
46.58203125,
-0.52734375,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
45.966796875,
0.17578125,
-3.59375
] | 0.066667 | 2 | 0 | 2 | 0 |
[
-4.658203125,
189.580078125,
175.869140625,
46.58203125,
-0.52734375,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
46.23046875,
-0.087890625,
-3.59375
] | 0.1 | 3 | 0 | 3 | 0 |
[
-4.658203125,
189.580078125,
175.869140625,
46.58203125,
-0.52734375,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
46.23046875,
-0.17578125,
-3.59375
] | 0.133333 | 4 | 0 | 4 | 0 |
[
-4.658203125,
189.580078125,
175.869140625,
46.58203125,
-0.52734375,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
46.40625,
-0.263671875,
-3.59375
] | 0.166667 | 5 | 0 | 5 | 0 |
[
-4.482421875,
189.580078125,
175.869140625,
46.58203125,
-0.439453125,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
46.40625,
-0.263671875,
-3.59375
] | 0.2 | 6 | 0 | 6 | 0 |
[
-4.482421875,
189.580078125,
175.869140625,
46.58203125,
-0.3515625,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
46.40625,
-0.263671875,
-3.59375
] | 0.233333 | 7 | 0 | 7 | 0 |
[
-4.482421875,
189.580078125,
175.869140625,
46.58203125,
-0.3515625,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
46.40625,
-0.263671875,
-3.59375
] | 0.266667 | 8 | 0 | 8 | 0 |
[
-4.482421875,
189.580078125,
175.869140625,
46.58203125,
-0.3515625,
-4
] | [
-4.482421875,
188.96484375,
176.30859375,
46.40625,
-0.263671875,
-3.59375
] | 0.3 | 9 | 0 | 9 | 0 |
null | null | null | null | 0 | null | null |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0 | 0 | 1 | 447 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.033333 | 1 | 1 | 448 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.066667 | 2 | 1 | 449 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.1 | 3 | 1 | 450 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.133333 | 4 | 1 | 451 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.166667 | 5 | 1 | 452 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.2 | 6 | 1 | 453 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.233333 | 7 | 1 | 454 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.266667 | 8 | 1 | 455 | 0 |
[
-3.076171875,
189.580078125,
167.34375,
76.904296875,
-1.845703125,
-8.444443702697754
] | [
-2.900390625,
188.701171875,
167.607421875,
77.607421875,
-1.58203125,
-4.53125
] | 0.3 | 9 | 1 | 456 | 0 |
null | null | null | null | 1 | null | null |
[
-9.14743423461914,
65.79496002197266,
85.72824096679688,
81.09700012207031,
1.457608699798584,
-7.986084938049316
] | [
-7.3828125,
188.96484375,
168.046875,
77.431640625,
-2.548828125,
-5.390625
] | 0 | 0 | 1 | 580 | 0 |
[
-9.020915031433105,
65.71321105957031,
85.60545349121094,
80.92239379882812,
1.3632309436798096,
-8.869227409362793
] | [
-7.3828125,
188.96484375,
168.046875,
77.431640625,
-2.548828125,
-5.390625
] | 0.033333 | 1 | 1 | 581 | 0 |
[
-8.830376625061035,
65.65437316894531,
85.40337371826172,
81.18292999267578,
1.3986865282058716,
-8.67839527130127
] | [
-7.470703125,
188.96484375,
168.046875,
77.607421875,
-2.373046875,
-5.390625
] | 0.066667 | 2 | 1 | 582 | 0 |
[
-8.968013763427734,
66.31483459472656,
85.56727600097656,
81.4092025756836,
1.4489927291870117,
-8.3904390335083
] | [
-7.998046875,
188.173828125,
167.080078125,
78.837890625,
-0.966796875,
-5.390625
] | 0.1 | 3 | 1 | 583 | 0 |
[
-8.169041633605957,
66.26425170898438,
85.00588989257812,
81.38510131835938,
1.3904125690460205,
-7.585772514343262
] | [
-8.701171875,
184.482421875,
164.091796875,
79.98046875,
0.263671875,
-5.390625
] | 0.133333 | 4 | 1 | 584 | 0 |
[
-8.623665809631348,
66.34507751464844,
85.72709655761719,
80.67639923095703,
1.252600073814392,
-7.109732627868652
] | [
-8.61328125,
178.76953125,
158.994140625,
80.5078125,
0.439453125,
-5.390625
] | 0.166667 | 5 | 1 | 585 | 0 |
[
-8.546133995056152,
66.52787780761719,
85.33570861816406,
81.60725402832031,
1.423746109008789,
-7.534167289733887
] | [
-8.173828125,
171.826171875,
152.2265625,
80.859375,
0.791015625,
-5.390625
] | 0.2 | 6 | 1 | 586 | 0 |
[
-8.900349617004395,
66.22644805908203,
84.80020904541016,
81.73591613769531,
1.4069085121154785,
-7.429823875427246
] | [
-8.173828125,
163.828125,
144.052734375,
80.859375,
0.791015625,
-5.390625
] | 0.233333 | 7 | 1 | 587 | 0 |
[
-9.383342742919922,
67.16089630126953,
83.85907745361328,
83.34078979492188,
1.6088242530822754,
-7.9132280349731445
] | [
-8.4375,
155.21484375,
135.17578125,
80.947265625,
0.966796875,
-5.390625
] | 0.266667 | 8 | 1 | 588 | 0 |
[
-9.343308448791504,
67.1566390991211,
84.11457824707031,
83.1434097290039,
1.6312026977539062,
-7.8875932693481445
] | [
-8.61328125,
146.337890625,
126.38671875,
81.38671875,
1.142578125,
-5.390625
] | 0.3 | 9 | 1 | 589 | 0 |
null | null | null | null | 2 | null | null |
[
-3.9179344177246094,
99.26625061035156,
93.40608978271484,
89.23887634277344,
-1.769327998161316,
23.137102127075195
] | [
-7.119140625,
189.052734375,
167.87109375,
77.51953125,
-2.548828125,
-5.390625
] | 0 | 0 | 3 | 1,765 | 0 |
[
-4.021286964416504,
98.64356231689453,
92.64868927001953,
89.07877349853516,
-1.8467332124710083,
23.724931716918945
] | [
-7.119140625,
189.052734375,
167.87109375,
77.51953125,
-2.548828125,
-5.390625
] | 0.033333 | 1 | 3 | 1,766 | 0 |
[
-3.8869667053222656,
98.58921813964844,
92.80377197265625,
89.24760437011719,
-1.8035258054733276,
24.725982666015625
] | [
-7.03125,
189.052734375,
167.87109375,
77.51953125,
-2.4609375,
-5.390625
] | 0.066667 | 2 | 3 | 1,767 | 0 |
[
-4.2398834228515625,
99.01223754882812,
93.89570617675781,
88.84098052978516,
-1.908922791481018,
22.814626693725586
] | [
-5.80078125,
188.26171875,
167.080078125,
79.013671875,
-2.548828125,
-4.921875
] | 0.1 | 3 | 3 | 1,768 | 0 |
[
-3.8414621353149414,
98.12256622314453,
94.4425277709961,
88.04207611083984,
-1.829426646232605,
22.148353576660156
] | [
-4.482421875,
184.658203125,
164.091796875,
82.001953125,
-1.669921875,
-3.4375
] | 0.133333 | 4 | 3 | 1,769 | 0 |
[
-3.804135322570801,
98.69721984863281,
94.46537780761719,
88.43215942382812,
-1.791617512702942,
23.958740234375
] | [
-4.658203125,
179.208984375,
159.345703125,
84.90234375,
-1.7578125,
1.09375
] | 0.166667 | 5 | 3 | 1,770 | 0 |
[
-4.206911087036133,
97.54946899414062,
93.85127258300781,
88.42515563964844,
-1.858294129371643,
19.963211059570312
] | [
-4.833984375,
172.001953125,
152.666015625,
86.572265625,
-1.845703125,
6.953124523162842
] | 0.2 | 6 | 3 | 1,771 | 0 |
[
-3.8255043029785156,
98.49330139160156,
95.82551574707031,
87.30673217773438,
-1.8065236806869507,
22.486759185791016
] | [
-3.955078125,
163.916015625,
144.31640625,
87.099609375,
-1.845703125,
12.656250953674316
] | 0.233333 | 7 | 3 | 1,772 | 0 |
[
-4.248473167419434,
99.49606323242188,
97.30011749267578,
86.33708953857422,
-1.889567494392395,
19.78456687927246
] | [
-3.8671875,
155.56640625,
135.791015625,
87.5390625,
-1.7578125,
16.953125
] | 0.266667 | 8 | 3 | 1,773 | 0 |
[
-4.457733154296875,
97.53138732910156,
95.62474822998047,
86.6790542602539,
-1.856486439704895,
19.363405227661133
] | [
-4.306640625,
146.513671875,
126.73828125,
87.5390625,
-1.7578125,
19.84375
] | 0.3 | 9 | 3 | 1,774 | 0 |
null | null | null | null | 3 | null | null |
null | null | null | null | null | null | null |
YAML Metadata Warning: empty or missing yaml metadata in repo card
Check out the documentation for more information.
my-cleaned-dataset-multiframe
This is a merged LeRobot dataset created by combining selected episodes from multiple source datasets.
Dataset Information
- Total Episodes: 4
- Total Frames: 2079
- Source Repositories: DanqingZ/so100_test_6, DanqingZ/eval_act_so100_test
- Format Version: 1.0
- Created With: pathonai-backend
Episode Details
- Episode 0: From DanqingZ/so100_test_6 (original episode 0) - 447 frames
- Episode 1: From DanqingZ/so100_test_6 (original episode 1) - 447 frames
- Episode 2: From DanqingZ/eval_act_so100_test (original episode 1) - 593 frames
- Episode 3: From DanqingZ/eval_act_so100_test (original episode 3) - 592 frames
Usage
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
# Load the dataset
dataset = LeRobotDataset("DanqingZ/my-cleaned-dataset-multiframe")
# Access episode data
episode_0 = dataset.get_episode(0)
License
This dataset combines data from multiple sources. Please check the licenses of the original datasets:
- DanqingZ/so100_test_6
- DanqingZ/eval_act_so100_test
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