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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
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 1393, 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 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
jpg image | json dict | __key__ string | __url__ string |
|---|---|---|---|
{
"file_name": "boxes_full_warehouse_dim__00000.jpg",
"image_id": 3001,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 0,
"camera_xyz": [
-22.073,
12.501,
0.468
],
"person_pose": "none",
"... | train/boxes_full_warehouse_dim__00000 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00001.jpg",
"image_id": 3002,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 1,
"camera_xyz": [
-13.448,
5.722,
0.424
],
"person_pose": "standing",
... | train/boxes_full_warehouse_dim__00001 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00002.jpg",
"image_id": 3003,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 2,
"camera_xyz": [
-14.156,
25.417,
0.671
],
"person_pose": "none",
"... | train/boxes_full_warehouse_dim__00002 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00003.jpg",
"image_id": 3004,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 3,
"camera_xyz": [
-6.848,
13.077,
0.783
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00003 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00004.jpg",
"image_id": 3005,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 4,
"camera_xyz": [
-3.886,
17.73,
0.753
],
"person_pose": "none",
"ob... | train/boxes_full_warehouse_dim__00004 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00005.jpg",
"image_id": 3006,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 5,
"camera_xyz": [
6.076,
26.993,
0.404
],
"person_pose": "walking",
... | train/boxes_full_warehouse_dim__00005 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00006.jpg",
"image_id": 3007,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 6,
"camera_xyz": [
-11.375,
6.058,
0.567
],
"person_pose": "seated",
... | train/boxes_full_warehouse_dim__00006 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00008.jpg",
"image_id": 3009,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 8,
"camera_xyz": [
-6.586,
13.52,
0.654
],
"person_pose": "none",
"ob... | train/boxes_full_warehouse_dim__00008 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00009.jpg",
"image_id": 3010,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 9,
"camera_xyz": [
-25.381,
6.483,
0.602
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00009 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00010.jpg",
"image_id": 3011,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 10,
"camera_xyz": [
0.374,
4.722,
0.735
],
"person_pose": "none",
"ob... | train/boxes_full_warehouse_dim__00010 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00011.jpg",
"image_id": 3012,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 11,
"camera_xyz": [
-13.151,
24.19,
0.489
],
"person_pose": "none",
"... | train/boxes_full_warehouse_dim__00011 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00012.jpg",
"image_id": 3013,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 12,
"camera_xyz": [
-8.699,
11.19,
0.724
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00012 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00013.jpg",
"image_id": 3014,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 13,
"camera_xyz": [
-8.956,
22.608,
0.716
],
"person_pose": "none",
"... | train/boxes_full_warehouse_dim__00013 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00015.jpg",
"image_id": 3016,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 15,
"camera_xyz": [
-12.655,
3.711,
0.651
],
"person_pose": "bending",
... | train/boxes_full_warehouse_dim__00015 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00016.jpg",
"image_id": 3017,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 16,
"camera_xyz": [
-27.118,
25.119,
0.627
],
"person_pose": "none",
... | train/boxes_full_warehouse_dim__00016 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00017.jpg",
"image_id": 3018,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 17,
"camera_xyz": [
-2.123,
6.123,
0.599
],
"person_pose": "bending",
... | train/boxes_full_warehouse_dim__00017 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00018.jpg",
"image_id": 3019,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 18,
"camera_xyz": [
7.463,
20.128,
0.704
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00018 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00019.jpg",
"image_id": 3020,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 19,
"camera_xyz": [
-13.852,
23.086,
0.572
],
"person_pose": "none",
... | train/boxes_full_warehouse_dim__00019 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00020.jpg",
"image_id": 3021,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 20,
"camera_xyz": [
-27.122,
24.779,
0.437
],
"person_pose": "none",
... | train/boxes_full_warehouse_dim__00020 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00021.jpg",
"image_id": 3022,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 21,
"camera_xyz": [
2.092,
20.256,
0.686
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00021 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00022.jpg",
"image_id": 3023,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 22,
"camera_xyz": [
-10.032,
27.408,
0.46
],
"person_pose": "lying_pron... | train/boxes_full_warehouse_dim__00022 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00023.jpg",
"image_id": 3024,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 23,
"camera_xyz": [
-22.129,
29.115,
0.632
],
"person_pose": "none",
... | train/boxes_full_warehouse_dim__00023 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00024.jpg",
"image_id": 3025,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 24,
"camera_xyz": [
0.658,
13.757,
0.751
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00024 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00025.jpg",
"image_id": 3026,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 25,
"camera_xyz": [
7.555,
23.42,
0.6
],
"person_pose": "none",
"obje... | train/boxes_full_warehouse_dim__00025 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00026.jpg",
"image_id": 3027,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 26,
"camera_xyz": [
-5.187,
6.254,
0.669
],
"person_pose": "standing",
... | train/boxes_full_warehouse_dim__00026 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00027.jpg",
"image_id": 3028,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 27,
"camera_xyz": [
6.94,
1.135,
0.581
],
"person_pose": "none",
"obj... | train/boxes_full_warehouse_dim__00027 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00028.jpg",
"image_id": 3029,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 28,
"camera_xyz": [
6.18,
19.579,
0.419
],
"person_pose": "none",
"ob... | train/boxes_full_warehouse_dim__00028 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00029.jpg",
"image_id": 3030,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 29,
"camera_xyz": [
7.362,
21.686,
0.777
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00029 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00030.jpg",
"image_id": 3031,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 30,
"camera_xyz": [
-12.66,
22.081,
0.652
],
"person_pose": "none",
"... | train/boxes_full_warehouse_dim__00030 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00031.jpg",
"image_id": 3032,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 31,
"camera_xyz": [
-9.137,
-1.492,
0.78
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00031 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00032.jpg",
"image_id": 3033,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 32,
"camera_xyz": [
0.509,
12.683,
0.63
],
"person_pose": "none",
"ob... | train/boxes_full_warehouse_dim__00032 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00033.jpg",
"image_id": 3034,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 33,
"camera_xyz": [
3.005,
6.564,
0.565
],
"person_pose": "none",
"ob... | train/boxes_full_warehouse_dim__00033 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00034.jpg",
"image_id": 3035,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 34,
"camera_xyz": [
-3.972,
26.902,
0.707
],
"person_pose": "kneeling",... | train/boxes_full_warehouse_dim__00034 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00035.jpg",
"image_id": 3036,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 35,
"camera_xyz": [
-12.832,
15.978,
0.502
],
"person_pose": "none",
... | train/boxes_full_warehouse_dim__00035 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00036.jpg",
"image_id": 3037,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 36,
"camera_xyz": [
-8.121,
9.506,
0.476
],
"person_pose": "none",
"o... | train/boxes_full_warehouse_dim__00036 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar | |
{
"file_name": "boxes_full_warehouse_dim__00037.jpg",
"image_id": 3038,
"width": 1280,
"height": 720,
"environment": "full_warehouse",
"lighting": "dim",
"source_run": "sdg_boxes_full_warehouse_dim",
"frame_index": 37,
"camera_xyz": [
-22.823,
12.283,
0.632
],
"person_pose": "none",
... | train/boxes_full_warehouse_dim__00037 | hf://datasets/ubr-physical-ai/isaac-sdg-warehouse-boxes@0cd8aff0e6325be229deefbfcc5c3293aafa3feb/shards/train-0000.tar |
End of preview.
isaac-sdg-warehouse-boxes
Synthetic warehouse frames from a ground robot's viewpoint for detecting boxes (cardboard cartons, plastic crates, parts bins) and people, rendered with NVIDIA Isaac Sim 6.0.1 Replicator for the UB Robotics rover detector (v2). 13,392 images at 1280x720.
Generated by UB Robotics during the NVIDIA Codefest: rendered on two machines, an RTX 4060 Ti workstation (6,000 images) and an RTX PRO 6000 cluster node (7,392 images); see Runs.
What is labelled
box(id 1): every carton / crate / bin the Isaac warehouse environments ship (assetsSM_CardBox*,SM_CratePlastic*,small_KLT*), on racks, pallets and the floor. Labels come from the renderer (tight 2D boxes of the visible extent), so partly occluded boxes are labelled by what is visible; boxes under 2 px are dropped.person(id 2): posed people (standing, walking, seated, kneeling, crouching, bending).person_lying(id 3): people lying supine or prone (same characters). No bags (backpack / handbag / suitcase): the Isaac 6.0 asset library has none.
How it was rendered
Camera 0.4-0.8 m above the floor, 90-degree horizontal FOV (focal 10.5 mm on a 20.955 mm aperture), placed on free floor
cells of the loaded stage (never inside racking) and aimed at a box 1-3, 3-6, 6-10 or 10-15 m away (stratified).
A person is placed on about a quarter of the frames, with a clear line of sight. Lighting variants: normal (the
environment's lights), dim (x0.25), harsh (x1.6 plus a strong key light); indoor HDRI skies.
| Environment | train | validation |
|---|---|---|
| full_warehouse | 8112 | 888 |
| warehouse_multiple_shelves | 3978 | 414 |
| Lighting | train | validation |
|---|---|---|
| dim | 4025 | 415 |
| harsh | 4012 | 440 |
| normal | 4053 | 447 |
| Class | train objects | validation objects |
|---|---|---|
| box | 1520909 | 157427 |
| person | 2241 | 241 |
| person_lying | 819 | 91 |
Splits and hold-outs
validation is a random 10 % per run. Every image carries environment, lighting, camera_xyz (metres, stage frame)
and source_run, so spatial hold-outs (a region of one warehouse, or a whole environment) are a filter away -- frames of
the same stage share racks and boxes, so a random split overstates generalisation.
Files
{train,validation}/*.jpg + metadata.jsonl (HF imagefolder, objects = id / bbox [x, y, w, h] / category /
category_name / area); annotations/coco_{train,validation}.json (merged COCO); provenance/ (generator config and
per-frame placement of every run).
Runs
| Run | environment | lighting | frames | generated | seed | rendered on |
|---|---|---|---|---|---|---|
| sdg_boxes_full_warehouse_normal | full_warehouse | normal | 3000 | 2026-10-04T09:58:51 | 101 | RTX 4060 Ti |
| sdg_boxes_full_warehouse_dim | full_warehouse | dim | 3000 | 2026-10-04T10:50:48 | 202 | RTX 4060 Ti |
| sdg_boxes_full_warehouse_harsh | full_warehouse | harsh | 3000 | 2026-10-04T11:11:52 | 303 | RTX PRO 6000 |
| sdg_boxes_warehouse_multiple_shelves_normal | warehouse_multiple_shelves | normal | 1500 | 2026-10-04T10:28:18 | 101 | RTX PRO 6000 |
| sdg_boxes_warehouse_multiple_shelves_dim | warehouse_multiple_shelves | dim | 1440 | 2026-10-04T10:27:50 | 202 | RTX PRO 6000 |
| sdg_boxes_warehouse_multiple_shelves_harsh | warehouse_multiple_shelves | harsh | 1452 | 2026-10-04T10:27:42 | 303 | RTX PRO 6000 |
License
- Annotations, metadata, configs, provenance and this card: CC BY 4.0 (UB Robotics / teex). Cite the dataset if you use it.
- Images: rendered with NVIDIA Isaac Sim Replicator from NVIDIA-distributed assets (warehouse environments, props, characters, skies). NVIDIA's Isaac Sim Additional Software and Materials License (v. June 9, 2025) forbids redistributing the assets themselves and does not address rendered output; the source assets are not included here, only renders. If you are NVIDIA and read this differently, contact us and we will adjust.
- Synthetic throughout: no real people, no real locations, no personal data.
Download
The images ship as WebDataset tar shards (shards/): each image train/<run>__<frame>.jpg comes with
train/<run>__<frame>.json holding its objects (bbox [x, y, w, h] / category / category_name / area) and
environment, lighting, camera_xyz, person_pose, source_run, frame_index -- the same rows as
{train,validation}/metadata.jsonl. Stream them with datasets:
import datasets
ds = datasets.load_dataset("ubr-physical-ai/isaac-sdg-warehouse-boxes", split="train") # columns: jpg, json
or download and unpack for an imagefolder / COCO workflow:
huggingface-cli download ubr-physical-ai/isaac-sdg-warehouse-boxes --repo-type dataset --local-dir boxes
cd boxes && for t in shards/*.tar; do tar -xf "$t"; done
which restores train/ and validation/ (images + per-image JSON) next to their metadata.jsonl;
annotations/coco_{train,validation}.json index the same files.
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