Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 2 missing columns ({'tasks', 'length'}).
This happened while the json dataset builder was generating data using
hf://datasets/chuanmew/baxter_example_5_val_lerobot/meta/episodes_stats.jsonl (at revision 6eca76cd4bc200a8e5ef7417f50ba66f6fca2e46)
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
episode_index: int64
stats: struct<observation.images.main_camera: 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>>, observation.state: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, timestamp: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, frame_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, episode_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>, task_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>>
child 0, observation.images.main_camera: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list
...
_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
child 0, min: list<item: int64>
child 0, item: int64
child 1, max: 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 6, index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
child 0, min: list<item: int64>
child 0, item: int64
child 1, max: 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, task_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
child 0, min: list<item: int64>
child 0, item: int64
child 1, max: 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
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)}
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 1 new columns ({'stats'}) and 2 missing columns ({'tasks', 'length'}).
This happened while the json dataset builder was generating data using
hf://datasets/chuanmew/baxter_example_5_val_lerobot/meta/episodes_stats.jsonl (at revision 6eca76cd4bc200a8e5ef7417f50ba66f6fca2e46)
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 |
|---|---|---|
0 | [
"shake 100g blue dices"
] | 98 |
1 | [
"lower 22g yellow empty"
] | 24 |
2 | [
"drop 150g white nutsandbolts"
] | 33 |
3 | [
"drop 100g blue marbles"
] | 36 |
4 | [
"pick 100g yellow pasta"
] | 35 |
5 | [
"push 150g red pasta"
] | 36 |
6 | [
"drop 100g green dices"
] | 35 |
7 | [
"grasp 150g white nutsandbolts"
] | 32 |
8 | [
"pick 150g yellow rice"
] | 39 |
9 | [
"shake 50g yellow buttons"
] | 143 |
10 | [
"pick 150g red nutsandbolts"
] | 37 |
11 | [
"grasp 100g green buttons"
] | 32 |
12 | [
"grasp 100g green nutsandbolts"
] | 33 |
13 | [
"pick 150g blue pasta"
] | 40 |
14 | [
"pick 22g yellow empty"
] | 64 |
15 | [
"grasp 150g yellow dices"
] | 35 |
16 | [
"pick 150g white rice"
] | 39 |
17 | [
"lower 22g green empty"
] | 27 |
18 | [
"shake 50g green nutsandbolts"
] | 76 |
19 | [
"drop 22g yellow empty"
] | 35 |
20 | [
"push 150g green dices"
] | 33 |
21 | [
"push 50g blue rice"
] | 28 |
22 | [
"lower 150g red buttons"
] | 23 |
23 | [
"pick 100g blue pasta"
] | 45 |
24 | [
"push 100g white pasta"
] | 36 |
25 | [
"shake 100g red dices"
] | 136 |
26 | [
"shake 100g green buttons"
] | 91 |
27 | [
"lower 22g blue empty"
] | 64 |
28 | [
"hold 50g yellow buttons"
] | 20 |
29 | [
"pick 150g red buttons"
] | 33 |
30 | [
"push 100g blue pasta"
] | 37 |
31 | [
"grasp 100g white pasta"
] | 31 |
32 | [
"push 100g green dices"
] | 31 |
33 | [
"drop 50g red rice"
] | 28 |
34 | [
"lower 150g green pasta"
] | 24 |
35 | [
"shake 150g white rice"
] | 48 |
36 | [
"drop 100g red buttons"
] | 29 |
37 | [
"lower 50g blue nutsandbolts"
] | 23 |
38 | [
"lower 50g yellow rice"
] | 22 |
39 | [
"shake 100g blue marbles"
] | 138 |
40 | [
"hold 50g blue pasta"
] | 17 |
41 | [
"hold 100g green marbles"
] | 20 |
42 | [
"push 50g green rice"
] | 34 |
43 | [
"shake 100g yellow dices"
] | 105 |
44 | [
"hold 22g white empty"
] | 24 |
45 | [
"drop 100g yellow pasta"
] | 35 |
46 | [
"pick 150g yellow nutsandbolts"
] | 16 |
47 | [
"drop 100g green buttons"
] | 31 |
48 | [
"shake 150g red dices"
] | 106 |
49 | [
"drop 50g green nutsandbolts"
] | 31 |
50 | [
"push 100g green rice"
] | 28 |
51 | [
"hold 150g white buttons"
] | 18 |
52 | [
"shake 100g yellow nutsandbolts"
] | 102 |
53 | [
"drop 50g green marbles"
] | 34 |
54 | [
"shake 50g yellow rice"
] | 142 |
55 | [
"drop 150g red marbles"
] | 29 |
56 | [
"grasp 100g red rice"
] | 22 |
57 | [
"lower 100g red marbles"
] | 20 |
58 | [
"lower 150g white marbles"
] | 29 |
59 | [
"grasp 100g blue pasta"
] | 17 |
60 | [
"hold 100g yellow buttons"
] | 20 |
61 | [
"hold 150g blue marbles"
] | 12 |
62 | [
"lower 100g yellow pasta"
] | 25 |
63 | [
"push 100g green dices"
] | 35 |
64 | [
"pick 50g blue marbles"
] | 66 |
65 | [
"shake 100g green pasta"
] | 148 |
66 | [
"grasp 50g green pasta"
] | 29 |
67 | [
"lower 50g red rice"
] | 20 |
68 | [
"pick 150g red rice"
] | 37 |
69 | [
"shake 150g blue nutsandbolts"
] | 91 |
70 | [
"shake 100g blue pasta"
] | 143 |
71 | [
"grasp 22g yellow empty"
] | 32 |
72 | [
"lower 50g red nutsandbolts"
] | 16 |
73 | [
"lower 100g white pasta"
] | 34 |
74 | [
"pick 50g white pasta"
] | 38 |
75 | [
"shake 50g green pasta"
] | 136 |
76 | [
"drop 100g green rice"
] | 38 |
77 | [
"drop 22g white empty"
] | 36 |
78 | [
"pick 100g blue nutsandbolts"
] | 36 |
79 | [
"push 100g blue nutsandbolts"
] | 30 |
80 | [
"grasp 50g blue marbles"
] | 18 |
81 | [
"drop 50g green dices"
] | 38 |
82 | [
"shake 50g blue nutsandbolts"
] | 107 |
83 | [
"grasp 100g white dices"
] | 34 |
84 | [
"push 50g yellow dices"
] | 31 |
85 | [
"shake 50g green dices"
] | 102 |
86 | [
"drop 150g white pasta"
] | 33 |
87 | [
"shake 50g green nutsandbolts"
] | 144 |
88 | [
"pick 50g red rice"
] | 28 |
89 | [
"drop 100g blue pasta"
] | 45 |
90 | [
"push 150g yellow dices"
] | 34 |
91 | [
"pick 150g yellow nutsandbolts"
] | 41 |
92 | [
"drop 100g yellow dices"
] | 44 |
93 | [
"pick 100g red dices"
] | 41 |
94 | [
"lower 50g yellow marbles"
] | 19 |
95 | [
"drop 50g green dices"
] | 33 |
96 | [
"lower 50g blue pasta"
] | 22 |
97 | [
"push 50g white pasta"
] | 30 |
98 | [
"grasp 50g yellow dices"
] | 31 |
99 | [
"shake 100g blue nutsandbolts"
] | 66 |
End of preview.
README.md exists but content is empty.
- Downloads last month
- 4