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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 4 missing columns ({'task_index', 'task', 'episode_id', 'length'}).
This happened while the json dataset builder was generating data using
hf://datasets/xenorobotics/towel-fold-trimmed-v38/meta/episodes_stats.jsonl (at revision 87c28743b91c821b43ba98d312c10183a8b7e772)
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
stats: struct<observation.state: struct<max: list<item: double>, min: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, action: struct<max: list<item: double>, min: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, timestamp: struct<max: list<item: double>, min: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, frame_index: struct<max: list<item: int64>, min: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, episode_index: struct<max: list<item: int64>, min: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, index: struct<max: list<item: int64>, min: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, task_index: struct<max: list<item: int64>, min: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, observation.images.front: 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>>>
child 0, observation.state: struct<max: list<item: double>, min: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
child 0, max: li
...
: list<item: int64>
child 0, item: int64
child 1, min: 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 7, observation.images.front: 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>>
child 0, min: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, max: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, mean: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, std: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, count: list<item: int64>
child 0, item: int64
to
{'episode_index': Value('int64'), 'episode_id': Value('string'), 'length': Value('int64'), 'task_index': Value('int64'), 'task': Value('string')}
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 1 new columns ({'stats'}) and 4 missing columns ({'task_index', 'task', 'episode_id', 'length'}).
This happened while the json dataset builder was generating data using
hf://datasets/xenorobotics/towel-fold-trimmed-v38/meta/episodes_stats.jsonl (at revision 87c28743b91c821b43ba98d312c10183a8b7e772)
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 | episode_id string | length int64 | task_index int64 | task string |
|---|---|---|---|---|
0 | episode_000000 | 313 | 0 | towel_folding_first_fold |
1 | episode_000001 | 465 | 0 | towel_folding_first_fold |
2 | episode_000002 | 513 | 0 | towel_folding_first_fold |
3 | episode_000003 | 461 | 0 | towel_folding_first_fold |
0 | episode_000000 | 313 | 0 | towel_folding_first_fold |
1 | episode_000001 | 465 | 0 | towel_folding_first_fold |
2 | episode_000002 | 513 | 0 | towel_folding_first_fold |
3 | episode_000003 | 461 | 0 | towel_folding_first_fold |
0 | null | null | null | null |
1 | null | null | null | null |
2 | null | null | null | null |
3 | null | null | null | null |
4 | null | null | null | null |
5 | null | null | null | null |
6 | null | null | null | null |
7 | null | null | null | null |
8 | null | null | null | null |
9 | null | null | null | null |
10 | null | null | null | null |
11 | null | null | null | null |
12 | null | null | null | null |
13 | null | null | null | null |
14 | null | null | null | null |
15 | null | null | null | null |
16 | null | null | null | null |
17 | null | null | null | null |
18 | null | null | null | null |
19 | null | null | null | null |
20 | null | null | null | null |
21 | null | null | null | null |
22 | null | null | null | null |
23 | null | null | null | null |
24 | null | null | null | null |
25 | null | null | null | null |
26 | null | null | null | null |
27 | null | null | null | null |
28 | null | null | null | null |
29 | null | null | null | null |
30 | null | null | null | null |
31 | null | null | null | null |
32 | null | null | null | null |
33 | null | null | null | null |
34 | null | null | null | null |
35 | null | null | null | null |
36 | null | null | null | null |
37 | null | null | null | null |
38 | null | null | null | null |
39 | null | null | null | null |
40 | null | null | null | null |
41 | null | null | null | null |
42 | null | null | null | null |
43 | null | null | null | null |
44 | null | null | null | null |
45 | null | null | null | null |
46 | null | null | null | null |
47 | null | null | null | null |
48 | null | null | null | null |
49 | null | null | null | null |
50 | null | null | null | null |
null | null | null | null | null |
null | null | null | null | null |
null | null | null | 0 | towel_folding_first_fold |
null | null | null | 0 | towel_folding_first_fold |
null | null | null | null | null |
Dataset Trimming Information
This dataset has been trimmed to the first fold detection point.
- Original Dataset: arsenxeno/record-test
- Trimmed Episodes: 4
- Average Trimmed Length: 438 frames
- Average Fold Time: 29.1 seconds
record-test
This dataset was generated using phosphobot.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, get your own phospho starter pack..
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