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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 ({'image', 'conversations'}) and 10 missing columns ({'k_min', 'depends_on', 'num_paths', 'top_objects', 'ambiguity', 'layer', 'object_semantic_id', 'occlusion_paths', 'new_difficulty', 'difficulty'}).
This happened while the json dataset builder was generating data using
hf://datasets/chiencn/vocc_synthetic/meta/subset_difficulty/train_calib_nlp_100_hard.jsonl (at revision 867d951c040cf2bdf7f324ffe9f510b59c620e70), ['hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_100_hard.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_450.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_550.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_100_hard.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_450.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_550.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_fusion_GT_450.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_fusion_nlp_450.jsonl'], ['hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_100_hard.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_450.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_550.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_100_hard.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_450.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_550.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_fusion_GT_450.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_fusion_nlp_450.jsonl']
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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
image: list<item: string>
child 0, item: string
conversations: list<item: struct<from: string, value: string>>
child 0, item: struct<from: string, value: string>
child 0, from: string
child 1, value: string
image_id: int64
query_object: int64
to
{'image_id': Value('int64'), 'query_object': Value('int64'), 'occlusion_paths': List(List(Value('int64'))), 'top_objects': List(Value('int64')), 'depends_on': List(Value('int64')), 'object_semantic_id': Value('int64'), 'ambiguity': Value('bool'), 'layer': Value('int64'), 'difficulty': Value('string'), 'k_min': Value('int64'), 'num_paths': Value('int64'), 'new_difficulty': 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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 ({'image', 'conversations'}) and 10 missing columns ({'k_min', 'depends_on', 'num_paths', 'top_objects', 'ambiguity', 'layer', 'object_semantic_id', 'occlusion_paths', 'new_difficulty', 'difficulty'}).
This happened while the json dataset builder was generating data using
hf://datasets/chiencn/vocc_synthetic/meta/subset_difficulty/train_calib_nlp_100_hard.jsonl (at revision 867d951c040cf2bdf7f324ffe9f510b59c620e70), ['hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_100_hard.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_450.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_550.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_100_hard.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_450.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_550.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_fusion_GT_450.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_fusion_nlp_450.jsonl'], ['hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_100_hard.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_450.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_GT_550.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_100_hard.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_450.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_calib_nlp_550.jsonl', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_fusion_GT_450.json', 'hf://datasets/chiencn/vocc_synthetic@867d951c040cf2bdf7f324ffe9f510b59c620e70/meta/subset_difficulty/train_fusion_nlp_450.jsonl']
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.
image_id int64 | query_object int64 | occlusion_paths list | top_objects list | depends_on list | object_semantic_id int64 | ambiguity bool | layer int64 | difficulty string | k_min int64 | num_paths int64 | new_difficulty string |
|---|---|---|---|---|---|---|---|---|---|---|---|
12,299 | 11 | [
[
10,
1,
11
],
[
10,
5,
11
],
[
10,
11
],
[
10,
1,
12,
11
],
[
10,
5,
12,
11
],
[
10,
12,
11
]
] | [
10
] | [
1,
10,
12,
5
] | 82 | true | 4 | Hard | 1 | 6 | Medium |
12,142 | 1 | [
[
3,
2,
1
],
[
3,
1
]
] | [
3
] | [
2,
3
] | 43 | false | 3 | Hard | 1 | 2 | Medium |
2,080 | 7 | [
[
3,
10,
5,
7
],
[
3,
9,
10,
5,
7
],
[
3,
9,
7
],
[
3,
10,
7
],
[
3,
9,
10,
7
]
] | [
2,
3
] | [
9,
10,
5
] | 20 | true | 5 | Hard | 2 | 5 | Hard |
5,402 | 10 | [
[
5,
10
],
[
3,
6,
10
]
] | [
3,
5
] | [
5,
6
] | 54 | false | 3 | Hard | 1 | 2 | Medium |
13,678 | 3 | [
[
5,
2,
3
],
[
4,
3
]
] | [
4,
5
] | [
2,
4
] | 79 | true | 3 | Hard | 1 | 2 | Medium |
13,001 | 4 | [
[
2,
1,
4
]
] | [
2
] | [
1
] | 82 | true | 3 | Hard | 2 | 1 | Medium |
11,383 | 3 | [
[
4,
2,
3
],
[
4,
3
]
] | [
4
] | [
2,
4
] | 38 | true | 3 | Hard | 1 | 2 | Medium |
10,856 | 2 | [
[
3,
1,
2
]
] | [
3
] | [
1
] | 18 | true | 3 | Hard | 2 | 1 | Medium |
14,736 | 2 | [
[
7,
5,
2
]
] | [
7
] | [
5
] | 18 | false | 3 | Hard | 2 | 1 | Medium |
16,354 | 5 | [
[
2,
1,
5
],
[
2,
5
]
] | [
2
] | [
1,
2
] | 5 | false | 3 | Hard | 1 | 2 | Medium |
12,996 | 4 | [
[
2,
1,
4
],
[
2,
4
]
] | [
2
] | [
1,
2
] | 82 | true | 3 | Hard | 1 | 2 | Medium |
1,813 | 2 | [
[
4,
2
],
[
1,
5,
2
],
[
4,
5,
2
]
] | [
1,
10,
4,
6
] | [
3,
4,
5
] | 51 | true | 3 | Hard | 1 | 3 | Medium |
8,144 | 2 | [
[
1,
2
],
[
4,
5,
2
]
] | [
1,
4
] | [
1,
3,
5
] | 57 | true | 3 | Hard | 1 | 2 | Medium |
3,416 | 4 | [
[
7,
6,
4
]
] | [
7
] | [
6
] | 5 | false | 3 | Hard | 2 | 1 | Medium |
3,652 | 1 | [
[
5,
4,
1
],
[
5,
1
]
] | [
5
] | [
4,
5
] | 18 | false | 3 | Hard | 1 | 2 | Medium |
11,671 | 4 | [
[
2,
1,
4
]
] | [
2
] | [
1
] | 31 | false | 3 | Hard | 2 | 1 | Medium |
2,977 | 6 | [
[
1,
6
],
[
7,
6
],
[
1,
8,
6
],
[
2,
5,
8,
6
]
] | [
1,
2,
7
] | [
8,
1,
7
] | 28 | true | 4 | Hard | 1 | 4 | Medium |
11,586 | 4 | [
[
1,
3,
4
],
[
1,
2,
3,
4
]
] | [
1
] | [
3
] | 40 | false | 4 | Hard | 2 | 2 | Medium |
3,048 | 7 | [
[
4,
5,
7
]
] | [
4
] | [
5
] | 12 | false | 3 | Hard | 2 | 1 | Medium |
14,865 | 5 | [
[
6,
12,
4,
5
],
[
8,
12,
4,
5
]
] | [
8,
6
] | [
4
] | 36 | false | 4 | Hard | 3 | 2 | Hard |
6,218 | 5 | [
[
1,
2,
5
]
] | [
1
] | [
2
] | 17 | true | 3 | Hard | 2 | 1 | Medium |
1,314 | 7 | [
[
4,
1,
7
]
] | [
4
] | [
1
] | 40 | false | 3 | Hard | 2 | 1 | Medium |
14,557 | 5 | [
[
6,
7,
5
]
] | [
6
] | [
6,
7
] | 51 | false | 3 | Hard | 2 | 1 | Medium |
6,547 | 4 | [
[
2,
4
],
[
2,
5,
4
]
] | [
2,
7
] | [
2,
5,
7
] | 34 | true | 3 | Hard | 1 | 2 | Medium |
4,716 | 2 | [
[
4,
2
],
[
4,
6,
2
]
] | [
4
] | [
4,
6
] | 67 | false | 3 | Hard | 1 | 2 | Medium |
587 | 1 | [
[
4,
2,
3,
1
]
] | [
4
] | [
3
] | 59 | true | 4 | Hard | 3 | 1 | Hard |
15,443 | 10 | [
[
3,
11,
7,
10
]
] | [
3
] | [
7
] | 4 | false | 4 | Hard | 3 | 1 | Hard |
13,674 | 2 | [
[
1,
2
],
[
1,
5,
2
]
] | [
1
] | [
1,
5
] | 79 | true | 3 | Hard | 1 | 2 | Medium |
3,510 | 2 | [
[
5,
4,
6,
2
]
] | [
5
] | [
6
] | 23 | true | 4 | Hard | 3 | 1 | Hard |
8,503 | 3 | [
[
1,
2,
3
]
] | [
1,
5
] | [
2,
5
] | 56 | true | 3 | Hard | 2 | 1 | Medium |
587 | 5 | [
[
4,
2,
3,
5
]
] | [
4
] | [
3
] | 61 | false | 4 | Hard | 3 | 1 | Hard |
15,945 | 2 | [
[
6,
3,
1,
2
],
[
6,
3,
2
]
] | [
6
] | [
1,
3
] | 74 | false | 4 | Hard | 2 | 2 | Medium |
2,007 | 11 | [
[
6,
1,
11
],
[
6,
11
],
[
6,
10,
11
]
] | [
9,
6
] | [
1,
10,
6,
7
] | 49 | true | 3 | Hard | 1 | 3 | Medium |
3,328 | 5 | [
[
2,
5
],
[
2,
4,
5
]
] | [
2
] | [
2,
4
] | 14 | false | 3 | Hard | 1 | 2 | Medium |
14,571 | 4 | [
[
9,
2,
4
]
] | [
9
] | [
2
] | 6 | false | 3 | Hard | 2 | 1 | Medium |
11,132 | 2 | [
[
1,
3,
2
]
] | [
1
] | [
3
] | 13 | true | 3 | Hard | 2 | 1 | Medium |
13,075 | 4 | [
[
2,
4
],
[
2,
5,
4
]
] | [
2
] | [
2,
5
] | 44 | true | 3 | Hard | 1 | 2 | Medium |
9,137 | 2 | [
[
4,
1,
6,
2
]
] | [
4
] | [
6
] | 24 | true | 4 | Hard | 3 | 1 | Hard |
15,533 | 12 | [
[
3,
1,
12
],
[
8,
1,
12
],
[
8,
11,
1,
12
],
[
3,
1,
7,
12
],
[
8,
1,
7,
12
],
[
8,
11,
1,
7,
12
],
[
8,
7,
12
]
] | [
8,
3
] | [
1,
2,
7
] | 79 | false | 5 | Hard | 2 | 7 | Hard |
12,089 | 1 | [
[
4,
3,
1
],
[
4,
1
]
] | [
4
] | [
3,
4
] | 28 | true | 3 | Hard | 1 | 2 | Medium |
15,533 | 1 | [
[
3,
1
],
[
8,
1
],
[
8,
11,
1
]
] | [
8,
3
] | [
8,
11,
3
] | 9 | false | 3 | Hard | 1 | 3 | Medium |
14,763 | 1 | [
[
2,
3,
1
],
[
5,
1
]
] | [
2,
5
] | [
3,
5
] | 97 | false | 3 | Hard | 1 | 2 | Medium |
14,571 | 5 | [
[
9,
2,
5
],
[
9,
5
]
] | [
9
] | [
9,
2
] | 25 | false | 3 | Hard | 1 | 2 | Medium |
15,705 | 3 | [
[
5,
1,
3
],
[
5,
3
]
] | [
5
] | [
1,
5
] | 23 | false | 3 | Hard | 1 | 2 | Medium |
17,209 | 6 | [
[
9,
7,
6
]
] | [
9
] | [
7
] | 77 | false | 3 | Hard | 2 | 1 | Medium |
2,076 | 11 | [
[
1,
11
],
[
9,
6,
11
]
] | [
1,
9
] | [
1,
6
] | 39 | true | 3 | Hard | 1 | 2 | Medium |
2,083 | 10 | [
[
3,
9,
10
]
] | [
3,
4
] | [
9,
2
] | 39 | true | 3 | Hard | 2 | 1 | Medium |
2,650 | 3 | [
[
7,
6,
3
],
[
7,
3
]
] | [
4,
7
] | [
5,
6,
7
] | 46 | true | 3 | Hard | 1 | 2 | Medium |
12,299 | 8 | [
[
10,
2,
8
],
[
10,
5,
8
],
[
10,
8
]
] | [
10
] | [
2,
10,
5
] | 82 | true | 3 | Hard | 1 | 3 | Medium |
15,303 | 8 | [
[
9,
7,
8
],
[
9,
8
]
] | [
9
] | [
9,
7
] | 39 | true | 3 | Hard | 1 | 2 | Medium |
16,127 | 7 | [
[
4,
8,
7
]
] | [
4
] | [
8
] | 27 | false | 3 | Hard | 2 | 1 | Medium |
11,169 | 1 | [
[
3,
2,
1
]
] | [
3
] | [
2
] | 43 | false | 3 | Hard | 2 | 1 | Medium |
2,845 | 5 | [
[
2,
1,
5
]
] | [
2
] | [
1
] | 15 | true | 3 | Hard | 2 | 1 | Medium |
15,653 | 10 | [
[
8,
14,
5,
10
]
] | [
8
] | [
5
] | 43 | false | 4 | Hard | 3 | 1 | Hard |
6,339 | 2 | [
[
5,
2
],
[
5,
8,
2
]
] | [
5
] | [
8,
5
] | 12 | true | 3 | Hard | 1 | 2 | Medium |
194 | 1 | [
[
3,
1
],
[
3,
4,
1
]
] | [
3
] | [
3,
4
] | 63 | true | 3 | Hard | 1 | 2 | Medium |
9,784 | 3 | [
[
1,
3
],
[
6,
5,
3
]
] | [
1,
6
] | [
1,
5
] | 28 | true | 3 | Hard | 1 | 2 | Medium |
219 | 3 | [
[
1,
2,
3
],
[
5,
3
]
] | [
1,
5
] | [
2,
5
] | 37 | false | 3 | Hard | 1 | 2 | Medium |
3,028 | 3 | [
[
6,
4,
3
]
] | [
6
] | [
4
] | 24 | true | 3 | Hard | 2 | 1 | Medium |
768 | 3 | [
[
1,
3
],
[
1,
2,
3
]
] | [
1
] | [
1,
2
] | 36 | false | 3 | Hard | 1 | 2 | Medium |
16,999 | 1 | [
[
9,
10,
7,
1
]
] | [
9
] | [
7
] | 74 | false | 4 | Hard | 3 | 1 | Hard |
4,555 | 5 | [
[
4,
1,
5
]
] | [
4
] | [
1
] | 41 | true | 3 | Hard | 2 | 1 | Medium |
12,784 | 2 | [
[
1,
3,
2
]
] | [
1
] | [
3
] | 57 | false | 3 | Hard | 2 | 1 | Medium |
9,472 | 1 | [
[
2,
3,
1
]
] | [
2
] | [
3
] | 6 | true | 3 | Hard | 2 | 1 | Medium |
15,957 | 1 | [
[
5,
1
],
[
5,
8,
6,
1
],
[
2,
10,
8,
6,
1
]
] | [
2,
5
] | [
5,
6
] | 20 | false | 5 | Hard | 1 | 3 | Medium |
16,482 | 4 | [
[
7,
5,
6,
4
]
] | [
7
] | [
6
] | 30 | false | 4 | Hard | 3 | 1 | Hard |
10,485 | 6 | [
[
4,
1,
6
]
] | [
3,
4
] | [
1
] | 31 | false | 3 | Hard | 2 | 1 | Medium |
15,591 | 8 | [
[
6,
1,
8
]
] | [
6
] | [
1
] | 2 | false | 3 | Hard | 2 | 1 | Medium |
12,297 | 11 | [
[
10,
1,
11
],
[
10,
5,
12,
1,
11
],
[
10,
12,
1,
11
],
[
10,
5,
11
],
[
10,
5,
12,
11
],
[
10,
12,
11
]
] | [
10
] | [
1,
10,
12,
5
] | 82 | true | 5 | Hard | 2 | 6 | Hard |
9,383 | 3 | [
[
2,
1,
3
],
[
2,
3
]
] | [
2
] | [
1,
2
] | 25 | false | 3 | Hard | 1 | 2 | Medium |
3,519 | 1 | [
[
5,
3,
1
]
] | [
5
] | [
3
] | 53 | true | 3 | Hard | 2 | 1 | Medium |
15,378 | 5 | [
[
8,
3,
5
]
] | [
8,
2
] | [
2,
3
] | 82 | false | 3 | Hard | 2 | 1 | Medium |
16,763 | 9 | [
[
12,
7,
9
]
] | [
12
] | [
7
] | 26 | false | 3 | Hard | 2 | 1 | Medium |
15,706 | 2 | [
[
5,
3,
1,
2
],
[
5,
1,
2
],
[
5,
3,
2
],
[
5,
2
]
] | [
5
] | [
1,
3,
5
] | 9 | false | 4 | Hard | 1 | 4 | Medium |
14,867 | 3 | [
[
6,
12,
1,
3
],
[
8,
12,
1,
3
],
[
6,
10,
12,
1,
3
],
[
2,
3
],
[
6,
12,
4,
3
],
[
8,
12,
4,
3
],
[
6,
10,
12,
4,
3
]
] | [
8,
2,
6
] | [
1,
2,
4
] | 74 | false | 5 | Hard | 1 | 7 | Medium |
12,299 | 4 | [
[
10,
5,
4
],
[
10,
1,
12,
4
],
[
10,
5,
12,
4
],
[
10,
12,
4
]
] | [
10
] | [
12,
5
] | 81 | false | 4 | Hard | 2 | 4 | Hard |
16,827 | 6 | [
[
5,
3,
6
]
] | [
5
] | [
3
] | 17 | false | 3 | Hard | 2 | 1 | Medium |
16,004 | 3 | [
[
1,
5,
3
],
[
6,
5,
3
],
[
6,
3
]
] | [
1,
6
] | [
5,
6
] | 65 | false | 3 | Hard | 1 | 3 | Medium |
9,138 | 5 | [
[
4,
1,
5
],
[
4,
5
]
] | [
4
] | [
1,
4
] | 63 | false | 3 | Hard | 1 | 2 | Medium |
7,151 | 4 | [
[
2,
4
],
[
2,
3,
4
]
] | [
2
] | [
2,
3
] | 39 | true | 3 | Hard | 1 | 2 | Medium |
10,394 | 6 | [
[
3,
2,
6
]
] | [
3
] | [
2
] | 41 | false | 3 | Hard | 2 | 1 | Medium |
15,499 | 10 | [
[
8,
5,
10
]
] | [
8
] | [
5
] | 81 | false | 3 | Hard | 2 | 1 | Medium |
16,125 | 8 | [
[
4,
8
],
[
4,
5,
8
]
] | [
4
] | [
4,
5
] | 7 | false | 3 | Hard | 1 | 2 | Medium |
9,380 | 3 | [
[
2,
1,
3
],
[
2,
3
]
] | [
2
] | [
1,
2
] | 25 | false | 3 | Hard | 1 | 2 | Medium |
14,610 | 5 | [
[
12,
3,
5
]
] | [
12
] | [
3
] | 60 | false | 3 | Hard | 2 | 1 | Medium |
1,312 | 7 | [
[
4,
1,
7
]
] | [
4
] | [
1
] | 40 | false | 3 | Hard | 2 | 1 | Medium |
17,326 | 2 | [
[
1,
3,
2
]
] | [
1
] | [
1,
3
] | 39 | false | 3 | Hard | 2 | 1 | Medium |
1,814 | 8 | [
[
1,
3,
8
]
] | [
1
] | [
3
] | 19 | true | 3 | Hard | 2 | 1 | Medium |
14,369 | 5 | [
[
3,
1,
5
],
[
3,
5
]
] | [
3
] | [
1,
3
] | 24 | true | 3 | Hard | 1 | 2 | Medium |
5,193 | 3 | [
[
5,
2,
3
],
[
5,
3
]
] | [
5
] | [
2,
5
] | 34 | true | 3 | Hard | 1 | 2 | Medium |
14,082 | 1 | [
[
3,
2,
1
],
[
3,
1
]
] | [
3
] | [
2,
3
] | 28 | true | 3 | Hard | 1 | 2 | Medium |
2,004 | 2 | [
[
1,
11,
2
],
[
6,
11,
2
],
[
6,
10,
11,
2
]
] | [
1,
5,
6
] | [
11
] | 69 | true | 4 | Hard | 2 | 3 | Hard |
16,108 | 7 | [
[
2,
6,
7
]
] | [
2,
3
] | [
6
] | 39 | true | 3 | Hard | 2 | 1 | Medium |
16,915 | 8 | [
[
2,
8
],
[
2,
3,
8
],
[
2,
5,
8
]
] | [
2
] | [
2,
3,
5
] | 27 | false | 3 | Hard | 1 | 3 | Medium |
16,485 | 11 | [
[
1,
7,
13,
6,
11
],
[
9,
11
]
] | [
1,
9
] | [
9,
6
] | 44 | false | 5 | Hard | 1 | 2 | Medium |
9,136 | 6 | [
[
4,
1,
6
],
[
4,
1,
5,
6
]
] | [
4
] | [
1,
5
] | 45 | false | 4 | Hard | 2 | 2 | Medium |
969 | 1 | [
[
3,
2,
1
]
] | [
3
] | [
2
] | 2 | false | 3 | Hard | 2 | 1 | Medium |
3,654 | 1 | [
[
5,
4,
1
],
[
5,
1
]
] | [
5
] | [
4,
5
] | 18 | false | 3 | Hard | 1 | 2 | Medium |
15,459 | 3 | [
[
7,
6,
3
]
] | [
7
] | [
6
] | 14 | false | 3 | Hard | 2 | 1 | Medium |
12,297 | 4 | [
[
10,
5,
12,
4
],
[
10,
12,
4
]
] | [
10
] | [
12
] | 81 | false | 4 | Hard | 2 | 2 | Medium |
End of preview.
VOCC-Grasp — UnoBench synthetic evaluation split
The synthetic data needed to run VOCC-Grasp on
UnoBench. This is not the full UnoBench release (208 GB); it is the test_GT_small_1800
evaluation split — 1800 cases over 1400 images, with RGB, depth and instance annotations
for every one of them. No file is missing.
Contents
| file | size | contents |
|---|---|---|
images.tar.gz |
~0.9 GB | 1400 × image_%06d.png, 1200×1200 RGB |
depth.tar.gz |
~1.4 GB | 1400 × image_%06d.npy, float32 1200×1200 |
annotations.tar.gz |
~15 MB | 1400 × image_%06d.npy, float32 instance-id map |
meta/gt_for_nlp.json |
3 MB | case list the pipeline selects from — required |
meta/subset_difficulty/ |
11 MB | every evaluation and calibration split |
Depth is in centimetres, and UnoBench ships no camera intrinsics — VOCC-Grasp synthesises a pinhole from a 60° vertical FOV. Annotations are integer instance ids stored as float32; 0 is background.
Usage
pip install huggingface_hub
hf download chiencn/vocc_synthetic --repo-type dataset --local-dir unobench_dl
cd /path/to/vocc-grasp
mkdir -p UnoBench/_extracted
for f in images depth annotations; do
mkdir -p UnoBench/_extracted/$f
tar -xzf /path/to/unobench_dl/$f.tar.gz -C UnoBench/_extracted/$f
done
cp /path/to/unobench_dl/meta/gt_for_nlp.json UnoBench/
The result is the layout the code expects:
vocc-grasp
└── UnoBench
├── gt_for_nlp.json
├── subset_difficulty/ (already in the git repo)
└── _extracted
├── images/image_000003.png
├── depth/image_000003.npy
└── annotations/image_000003.npy
Extracted footprint is about 16 GB.
Scope
Only the test_GT_small_1800 split is packaged. The calibration and fusion splits are not:
VOCC-Grasp ships its Platt coefficients already fitted and frozen, so nothing needs refitting
to reproduce the reported numbers. Those splits are also incomplete upstream — 731 of their
images have no depth map.
Reproducing the reported synthetic score needs no images at all; the fused edge scores are in the git repository. This dataset is for regenerating predictions from raw RGB-D.
Licence and attribution
UnoBench derives from MetaGraspNet-V2; this redistribution follows its terms and is for academic use only. Cite the upstream dataset when you use it.
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