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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 14 missing columns ({'dataset_from_index', 'data/file_index', 'videos/observation.images.wrist/file_index', 'videos/observation.images.front/from_timestamp', 'length', 'dataset_to_index', 'videos/observation.images.wrist/chunk_index', 'videos/observation.images.wrist/to_timestamp', 'tasks', 'videos/observation.images.front/to_timestamp', 'videos/observation.images.front/chunk_index', 'videos/observation.images.wrist/from_timestamp', 'data/chunk_index', 'videos/observation.images.front/file_index'}).
This happened while the json dataset builder was generating data using
hf://datasets/SunyGala/leisaac-pick-orange/meta/episodes_stats.jsonl (at revision 69bd56d3fc567f354367a81f04bc71a59b65247d), [/tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/episodes.jsonl (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/episodes.jsonl), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/episodes_stats.jsonl (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/episodes_stats.jsonl), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/info.json (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/info.json), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/sarm_annotations_sparse.json (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/sarm_annotations_sparse.json), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/stats.json (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/stats.json), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/tasks.jsonl (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/tasks.jsonl), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/temporal_proportions_sparse.json (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/temporal_proportions_sparse.json)]
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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<action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, st (... 1442 chars omitted)
child 0, action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 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, count: list<item: int64>
child 0, item: int64
child 1, observation.state: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 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, count: list<item: int64>
child 0, item: int64
child 2, observation.images.front: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double (... 129 chars omitted)
child 0, min: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
...
int64
child 6, episode_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: dou (... 31 chars omitted)
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, index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: dou (... 31 chars omitted)
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 8, task_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: dou (... 31 chars omitted)
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('int64'), 'data/chunk_index': Value('int64'), 'data/file_index': Value('int64'), 'dataset_from_index': Value('int64'), 'dataset_to_index': Value('int64'), 'videos/observation.images.front/chunk_index': Value('int64'), 'videos/observation.images.front/file_index': Value('int64'), 'videos/observation.images.front/from_timestamp': Value('float64'), 'videos/observation.images.front/to_timestamp': Value('float64'), 'videos/observation.images.wrist/chunk_index': Value('int64'), 'videos/observation.images.wrist/file_index': Value('int64'), 'videos/observation.images.wrist/from_timestamp': Value('float64'), 'videos/observation.images.wrist/to_timestamp': Value('float64'), 'tasks': List(Value('string')), 'length': 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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 14 missing columns ({'dataset_from_index', 'data/file_index', 'videos/observation.images.wrist/file_index', 'videos/observation.images.front/from_timestamp', 'length', 'dataset_to_index', 'videos/observation.images.wrist/chunk_index', 'videos/observation.images.wrist/to_timestamp', 'tasks', 'videos/observation.images.front/to_timestamp', 'videos/observation.images.front/chunk_index', 'videos/observation.images.wrist/from_timestamp', 'data/chunk_index', 'videos/observation.images.front/file_index'}).
This happened while the json dataset builder was generating data using
hf://datasets/SunyGala/leisaac-pick-orange/meta/episodes_stats.jsonl (at revision 69bd56d3fc567f354367a81f04bc71a59b65247d), [/tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/episodes.jsonl (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/episodes.jsonl), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/episodes_stats.jsonl (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/episodes_stats.jsonl), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/info.json (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/info.json), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/sarm_annotations_sparse.json (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/sarm_annotations_sparse.json), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/stats.json (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/stats.json), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/tasks.jsonl (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/tasks.jsonl), /tmp/hf-datasets-cache/medium/datasets/48634921444683-config-parquet-and-info-SunyGala-leisaac-pick-ora-3242a98a/hub/datasets--SunyGala--leisaac-pick-orange/snapshots/69bd56d3fc567f354367a81f04bc71a59b65247d/meta/temporal_proportions_sparse.json (origin=hf://datasets/SunyGala/leisaac-pick-orange@69bd56d3fc567f354367a81f04bc71a59b65247d/meta/temporal_proportions_sparse.json)]
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 | data/chunk_index int64 | data/file_index int64 | dataset_from_index int64 | dataset_to_index int64 | videos/observation.images.front/chunk_index int64 | videos/observation.images.front/file_index int64 | videos/observation.images.front/from_timestamp float64 | videos/observation.images.front/to_timestamp float64 | videos/observation.images.wrist/chunk_index int64 | videos/observation.images.wrist/file_index int64 | videos/observation.images.wrist/from_timestamp float64 | videos/observation.images.wrist/to_timestamp float64 | tasks list | length int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 774 | 0 | 0 | 0 | 25.8 | 0 | 0 | 0 | 25.8 | [
"Grab orange and place into plate"
] | 774 |
1 | 0 | 0 | 774 | 1,326 | 0 | 0 | 25.8 | 44.2 | 0 | 0 | 25.8 | 44.2 | [
"Grab orange and place into plate"
] | 552 |
2 | 0 | 0 | 1,326 | 1,935 | 0 | 0 | 44.2 | 64.5 | 0 | 0 | 44.2 | 64.5 | [
"Grab orange and place into plate"
] | 609 |
3 | 0 | 0 | 1,935 | 2,604 | 0 | 0 | 64.5 | 86.8 | 0 | 0 | 64.5 | 86.8 | [
"Grab orange and place into plate"
] | 669 |
4 | 0 | 0 | 2,604 | 3,216 | 0 | 0 | 86.8 | 107.2 | 0 | 0 | 86.8 | 107.2 | [
"Grab orange and place into plate"
] | 612 |
5 | 0 | 0 | 3,216 | 3,769 | 0 | 0 | 107.2 | 125.633333 | 0 | 0 | 107.2 | 125.633333 | [
"Grab orange and place into plate"
] | 553 |
6 | 0 | 0 | 3,769 | 4,484 | 0 | 0 | 125.633333 | 149.466667 | 0 | 0 | 125.633333 | 149.466667 | [
"Grab orange and place into plate"
] | 715 |
7 | 0 | 0 | 4,484 | 5,018 | 0 | 0 | 149.466667 | 167.266667 | 0 | 0 | 149.466667 | 167.266667 | [
"Grab orange and place into plate"
] | 534 |
8 | 0 | 0 | 5,018 | 5,467 | 0 | 0 | 167.266667 | 182.233333 | 0 | 0 | 167.266667 | 182.233333 | [
"Grab orange and place into plate"
] | 449 |
9 | 0 | 0 | 5,467 | 5,912 | 0 | 0 | 182.233333 | 197.066667 | 0 | 0 | 182.233333 | 197.066667 | [
"Grab orange and place into plate"
] | 445 |
10 | 0 | 0 | 5,912 | 6,405 | 0 | 0 | 197.066667 | 213.5 | 0 | 0 | 197.066667 | 213.5 | [
"Grab orange and place into plate"
] | 493 |
11 | 0 | 0 | 6,405 | 6,890 | 0 | 0 | 213.5 | 229.666667 | 0 | 0 | 213.5 | 229.666667 | [
"Grab orange and place into plate"
] | 485 |
12 | 0 | 0 | 6,890 | 7,691 | 0 | 0 | 229.666667 | 256.366667 | 0 | 0 | 229.666667 | 256.366667 | [
"Grab orange and place into plate"
] | 801 |
13 | 0 | 0 | 7,691 | 8,317 | 0 | 0 | 256.366667 | 277.233333 | 0 | 0 | 256.366667 | 277.233333 | [
"Grab orange and place into plate"
] | 626 |
14 | 0 | 0 | 8,317 | 8,844 | 0 | 0 | 277.233333 | 294.8 | 0 | 0 | 277.233333 | 294.8 | [
"Grab orange and place into plate"
] | 527 |
15 | 0 | 0 | 8,844 | 9,592 | 0 | 0 | 294.8 | 319.733333 | 0 | 0 | 294.8 | 319.733333 | [
"Grab orange and place into plate"
] | 748 |
16 | 0 | 0 | 9,592 | 10,415 | 0 | 0 | 319.733333 | 347.166667 | 0 | 0 | 319.733333 | 347.166667 | [
"Grab orange and place into plate"
] | 823 |
17 | 0 | 0 | 10,415 | 10,973 | 0 | 0 | 347.166667 | 365.766667 | 0 | 0 | 347.166667 | 365.766667 | [
"Grab orange and place into plate"
] | 558 |
18 | 0 | 0 | 10,973 | 11,789 | 0 | 0 | 365.766667 | 392.966667 | 0 | 0 | 365.766667 | 392.966667 | [
"Grab orange and place into plate"
] | 816 |
19 | 0 | 0 | 11,789 | 12,682 | 0 | 0 | 392.966667 | 422.733333 | 0 | 0 | 392.966667 | 422.733333 | [
"Grab orange and place into plate"
] | 893 |
20 | 0 | 0 | 12,682 | 13,369 | 0 | 0 | 422.733333 | 445.633333 | 0 | 0 | 422.733333 | 445.633333 | [
"Grab orange and place into plate"
] | 687 |
21 | 0 | 0 | 13,369 | 14,144 | 0 | 0 | 445.633333 | 471.466667 | 0 | 0 | 445.633333 | 471.466667 | [
"Grab orange and place into plate"
] | 775 |
22 | 0 | 0 | 14,144 | 14,540 | 0 | 0 | 471.466667 | 484.666667 | 0 | 0 | 471.466667 | 484.666667 | [
"Grab orange and place into plate"
] | 396 |
23 | 0 | 0 | 14,540 | 15,378 | 0 | 0 | 484.666667 | 512.6 | 0 | 0 | 484.666667 | 512.6 | [
"Grab orange and place into plate"
] | 838 |
24 | 0 | 0 | 15,378 | 16,154 | 0 | 0 | 512.6 | 538.466667 | 0 | 0 | 512.6 | 538.466667 | [
"Grab orange and place into plate"
] | 776 |
25 | 0 | 0 | 16,154 | 16,687 | 0 | 0 | 538.466667 | 556.233333 | 0 | 0 | 538.466667 | 556.233333 | [
"Grab orange and place into plate"
] | 533 |
26 | 0 | 0 | 16,687 | 17,740 | 0 | 0 | 556.233333 | 591.333333 | 0 | 0 | 556.233333 | 591.333333 | [
"Grab orange and place into plate"
] | 1,053 |
27 | 0 | 0 | 17,740 | 18,331 | 0 | 0 | 591.333333 | 611.033333 | 0 | 0 | 591.333333 | 611.033333 | [
"Grab orange and place into plate"
] | 591 |
28 | 0 | 0 | 18,331 | 18,859 | 0 | 0 | 611.033333 | 628.633333 | 0 | 0 | 611.033333 | 628.633333 | [
"Grab orange and place into plate"
] | 528 |
29 | 0 | 0 | 18,859 | 19,541 | 0 | 1 | 0 | 22.733333 | 0 | 0 | 628.633333 | 651.366667 | [
"Grab orange and place into plate"
] | 682 |
30 | 0 | 0 | 19,541 | 20,396 | 0 | 1 | 22.733333 | 51.233333 | 0 | 0 | 651.366667 | 679.866667 | [
"Grab orange and place into plate"
] | 855 |
31 | 0 | 0 | 20,396 | 20,852 | 0 | 1 | 51.233333 | 66.433333 | 0 | 0 | 679.866667 | 695.066667 | [
"Grab orange and place into plate"
] | 456 |
32 | 0 | 0 | 20,852 | 21,352 | 0 | 1 | 66.433333 | 83.1 | 0 | 0 | 695.066667 | 711.733333 | [
"Grab orange and place into plate"
] | 500 |
33 | 0 | 0 | 21,352 | 22,075 | 0 | 1 | 83.1 | 107.2 | 0 | 0 | 711.733333 | 735.833333 | [
"Grab orange and place into plate"
] | 723 |
34 | 0 | 0 | 22,075 | 22,842 | 0 | 1 | 107.2 | 132.766667 | 0 | 0 | 735.833333 | 761.4 | [
"Grab orange and place into plate"
] | 767 |
35 | 0 | 0 | 22,842 | 23,243 | 0 | 1 | 132.766667 | 146.133333 | 0 | 0 | 761.4 | 774.766667 | [
"Grab orange and place into plate"
] | 401 |
36 | 0 | 0 | 23,243 | 23,663 | 0 | 1 | 146.133333 | 160.133333 | 0 | 0 | 774.766667 | 788.766667 | [
"Grab orange and place into plate"
] | 420 |
37 | 0 | 0 | 23,663 | 24,363 | 0 | 1 | 160.133333 | 183.466667 | 0 | 0 | 788.766667 | 812.1 | [
"Grab orange and place into plate"
] | 700 |
38 | 0 | 0 | 24,363 | 24,883 | 0 | 1 | 183.466667 | 200.8 | 0 | 0 | 812.1 | 829.433333 | [
"Grab orange and place into plate"
] | 520 |
39 | 0 | 0 | 24,883 | 25,414 | 0 | 1 | 200.8 | 218.5 | 0 | 0 | 829.433333 | 847.133333 | [
"Grab orange and place into plate"
] | 531 |
40 | 0 | 0 | 25,414 | 25,834 | 0 | 1 | 218.5 | 232.5 | 0 | 1 | 0 | 14 | [
"Grab orange and place into plate"
] | 420 |
41 | 0 | 0 | 25,834 | 26,238 | 0 | 1 | 232.5 | 245.966667 | 0 | 1 | 14 | 27.466667 | [
"Grab orange and place into plate"
] | 404 |
42 | 0 | 0 | 26,238 | 26,656 | 0 | 1 | 245.966667 | 259.9 | 0 | 1 | 27.466667 | 41.4 | [
"Grab orange and place into plate"
] | 418 |
43 | 0 | 0 | 26,656 | 27,349 | 0 | 1 | 259.9 | 283 | 0 | 1 | 41.4 | 64.5 | [
"Grab orange and place into plate"
] | 693 |
44 | 0 | 0 | 27,349 | 27,793 | 0 | 1 | 283 | 297.8 | 0 | 1 | 64.5 | 79.3 | [
"Grab orange and place into plate"
] | 444 |
45 | 0 | 0 | 27,793 | 28,717 | 0 | 1 | 297.8 | 328.6 | 0 | 1 | 79.3 | 110.1 | [
"Grab orange and place into plate"
] | 924 |
46 | 0 | 0 | 28,717 | 29,488 | 0 | 1 | 328.6 | 354.3 | 0 | 1 | 110.1 | 135.8 | [
"Grab orange and place into plate"
] | 771 |
47 | 0 | 0 | 29,488 | 30,022 | 0 | 1 | 354.3 | 372.1 | 0 | 1 | 135.8 | 153.6 | [
"Grab orange and place into plate"
] | 534 |
48 | 0 | 0 | 30,022 | 30,403 | 0 | 1 | 372.1 | 384.8 | 0 | 1 | 153.6 | 166.3 | [
"Grab orange and place into plate"
] | 381 |
49 | 0 | 0 | 30,403 | 30,992 | 0 | 1 | 384.8 | 404.433333 | 0 | 1 | 166.3 | 185.933333 | [
"Grab orange and place into plate"
] | 589 |
50 | 0 | 0 | 30,992 | 31,420 | 0 | 1 | 404.433333 | 418.7 | 0 | 1 | 185.933333 | 200.2 | [
"Grab orange and place into plate"
] | 428 |
51 | 0 | 0 | 31,420 | 31,968 | 0 | 1 | 418.7 | 436.966667 | 0 | 1 | 200.2 | 218.466667 | [
"Grab orange and place into plate"
] | 548 |
52 | 0 | 0 | 31,968 | 32,443 | 0 | 1 | 436.966667 | 452.8 | 0 | 1 | 218.466667 | 234.3 | [
"Grab orange and place into plate"
] | 475 |
53 | 0 | 0 | 32,443 | 32,792 | 0 | 1 | 452.8 | 464.433333 | 0 | 1 | 234.3 | 245.933333 | [
"Grab orange and place into plate"
] | 349 |
54 | 0 | 0 | 32,792 | 33,264 | 0 | 1 | 464.433333 | 480.166667 | 0 | 1 | 245.933333 | 261.666667 | [
"Grab orange and place into plate"
] | 472 |
55 | 0 | 0 | 33,264 | 33,726 | 0 | 1 | 480.166667 | 495.566667 | 0 | 1 | 261.666667 | 277.066667 | [
"Grab orange and place into plate"
] | 462 |
56 | 0 | 0 | 33,726 | 34,187 | 0 | 1 | 495.566667 | 510.933333 | 0 | 1 | 277.066667 | 292.433333 | [
"Grab orange and place into plate"
] | 461 |
57 | 0 | 0 | 34,187 | 34,794 | 0 | 1 | 510.933333 | 531.166667 | 0 | 1 | 292.433333 | 312.666667 | [
"Grab orange and place into plate"
] | 607 |
58 | 0 | 0 | 34,794 | 35,783 | 0 | 1 | 531.166667 | 564.133333 | 0 | 1 | 312.666667 | 345.633333 | [
"Grab orange and place into plate"
] | 989 |
59 | 0 | 0 | 35,783 | 36,293 | 0 | 1 | 564.133333 | 581.133333 | 0 | 1 | 345.633333 | 362.633333 | [
"Grab orange and place into plate"
] | 510 |
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39 | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
End of preview.
LeIsaac Pick Orange Dataset
A robot manipulation dataset for learning to pick and place oranges, collected in Isaac Lab simulation environment.
Task Description
The robot performs the following subtasks:
- Approach orange - Move gripper towards the orange
- Grab orange - Close gripper to grasp the orange
- Move to plate - Transport the orange towards the plate
- Place orange - Open gripper to release the orange on the plate
- Retreat - Move away from the placement location
SARM Annotations
This dataset includes Stage-Aware Reward Modeling (SARM) sparse annotations for all 60 episodes. Each episode is annotated with temporal boundaries for each subtask.
Temporal Proportions (Average)
| Subtask | Proportion |
|---|---|
| approach orange | 17.4% |
| grab orange | 11.3% |
| move to plate | 17.9% |
| place orange | 20.9% |
| retreat | 32.5% |
Annotation Files
meta/sarm_annotations_sparse.json- JSON format annotationsmeta/temporal_proportions_sparse.json- Average temporal proportions- Episode-level annotations in parquet files with columns:
sparse_subtask_namessparse_subtask_start_timessparse_subtask_end_timessparse_subtask_start_framessparse_subtask_end_frames
Dataset Structure
leisaac-pick-orange/
βββ meta/
β βββ info.json
β βββ stats.json
β βββ tasks.parquet
β βββ episodes/
β β βββ chunk-000/
β β βββ file-*.parquet
β βββ sarm_annotations_sparse.json
β βββ temporal_proportions_sparse.json
βββ data/
β βββ chunk-000/
β βββ file-*.parquet
βββ videos/
βββ observation.images.front/
β βββ chunk-000/
β βββ file-*.mp4
βββ observation.images.wrist/
βββ chunk-000/
βββ file-*.mp4
Usage
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
# Load the dataset
dataset = LeRobotDataset("SunyGala/leisaac-pick-orange")
# Access episodes
for i in range(len(dataset)):
episode = dataset[i]
# episode contains observation images, robot state, and actions
License
Apache 2.0
Citation
If you use this dataset, please cite the relevant works:
@software{lerobot2024,
title = {LeRobot: Making AI for Robotics more accessible},
author = {LeRobot team},
url = {https://github.com/huggingface/lerobot}
}
Acknowledgments
- Dataset generated using Isaac Lab
- Annotations generated using SiliconFlow API with Qwen3-VL model
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