VST
Collection
A comprehensive framework designed to cultivate VLMs with human-like visuospatial abilities.
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6 items
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6
Dataset Preview
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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 ({'data_source', 'question'}) and 6 missing columns ({'category_cn', 'camera_extrinsics', 'extra_info', 'camera_intrinsics', 'height', 'width'}).
This happened while the json dataset builder was generating data using
hf://datasets/rayruiyang/vst_3d_grounding_benchmark/sunrgbd/annotations/sunrgbd_val_total3d-prompt_v4_norm.json (at revision 497c8f67fe3a3f41672363ffb76c0e65976904af), [/tmp/hf-datasets-cache/medium/datasets/39553047813114-config-parquet-and-info-rayruiyang-vst_3d_groundi-597c3485/hub/datasets--rayruiyang--vst_3d_grounding_benchmark/snapshots/497c8f67fe3a3f41672363ffb76c0e65976904af/sunrgbd/annotations/sunrgbd_total3d_val_metaqa_20250321.json (origin=hf://datasets/rayruiyang/vst_3d_grounding_benchmark@497c8f67fe3a3f41672363ffb76c0e65976904af/sunrgbd/annotations/sunrgbd_total3d_val_metaqa_20250321.json), /tmp/hf-datasets-cache/medium/datasets/39553047813114-config-parquet-and-info-rayruiyang-vst_3d_groundi-597c3485/hub/datasets--rayruiyang--vst_3d_grounding_benchmark/snapshots/497c8f67fe3a3f41672363ffb76c0e65976904af/sunrgbd/annotations/sunrgbd_val_total3d-prompt_v4_norm.json (origin=hf://datasets/rayruiyang/vst_3d_grounding_benchmark@497c8f67fe3a3f41672363ffb76c0e65976904af/sunrgbd/annotations/sunrgbd_val_total3d-prompt_v4_norm.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 674, 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
uid: string
image_path: string
question: string
answer: list<item: struct<bbox_3d: list<item: double>, label: string>>
child 0, item: struct<bbox_3d: list<item: double>, label: string>
child 0, bbox_3d: list<item: double>
child 0, item: double
child 1, label: string
category: string
data_source: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 817
to
{'uid': Value('string'), 'image_path': Value('string'), 'camera_intrinsics': {'cx': Value('float64'), 'cy': Value('float64'), 'fx': Value('float64'), 'fy': Value('float64')}, 'camera_extrinsics': List(List(Value('int64'))), 'width': Value('int64'), 'height': Value('int64'), 'answer': List(List(Value('float64'))), 'category': Value('string'), 'category_cn': Value('string'), 'extra_info': {'K': List(List(Value('float64'))), 'R': List(List(Value('float64'))), 'annotations': List({'R_bbox2cam': List(List(Value('float64'))), 'bbox2D_proj': List(Value('float64')), 'bbox2D_tight': List(Value('float64')), 'bbox2D_trunc': List(Value('float64')), 'bbox3D_cam': List(List(Value('float64'))), 'category': Value('string'), 'category_cn': Value('string'), 'category_old': Value('string'), 'category_original': Value('string'), 'category_total3d': Value('string'), 'centroid_cam': List(Value('float64')), 'dimensions': List(Value('float64')), 'id': Value('int64'), 'image_id': Value('int64'), 'image_uid': Value('string'), 'uid': Value('string')}), 'file_name': Value('string'), 'height': Value('int64'), 'history': {'file_name_votenate': Value('string')}, 'id': Value('int64'), 'src_90_rotate': Value('bool'), 'uid': Value('string'), 'width': 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 2 new columns ({'data_source', 'question'}) and 6 missing columns ({'category_cn', 'camera_extrinsics', 'extra_info', 'camera_intrinsics', 'height', 'width'}).
This happened while the json dataset builder was generating data using
hf://datasets/rayruiyang/vst_3d_grounding_benchmark/sunrgbd/annotations/sunrgbd_val_total3d-prompt_v4_norm.json (at revision 497c8f67fe3a3f41672363ffb76c0e65976904af), [/tmp/hf-datasets-cache/medium/datasets/39553047813114-config-parquet-and-info-rayruiyang-vst_3d_groundi-597c3485/hub/datasets--rayruiyang--vst_3d_grounding_benchmark/snapshots/497c8f67fe3a3f41672363ffb76c0e65976904af/sunrgbd/annotations/sunrgbd_total3d_val_metaqa_20250321.json (origin=hf://datasets/rayruiyang/vst_3d_grounding_benchmark@497c8f67fe3a3f41672363ffb76c0e65976904af/sunrgbd/annotations/sunrgbd_total3d_val_metaqa_20250321.json), /tmp/hf-datasets-cache/medium/datasets/39553047813114-config-parquet-and-info-rayruiyang-vst_3d_groundi-597c3485/hub/datasets--rayruiyang--vst_3d_grounding_benchmark/snapshots/497c8f67fe3a3f41672363ffb76c0e65976904af/sunrgbd/annotations/sunrgbd_val_total3d-prompt_v4_norm.json (origin=hf://datasets/rayruiyang/vst_3d_grounding_benchmark@497c8f67fe3a3f41672363ffb76c0e65976904af/sunrgbd/annotations/sunrgbd_val_total3d-prompt_v4_norm.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.
uid
string | image_path
string | camera_intrinsics
dict | camera_extrinsics
list | width
int64 | height
int64 | answer
list | category
string | category_cn
string | extra_info
dict |
|---|---|---|---|---|---|---|---|---|---|
6d410a16-449d-46bd-a5f6-96799c4b1e20
|
sunrgbd/val/sunrgbd_000001.jpg
|
{
"cx": 365,
"cy": 265,
"fx": 529.5,
"fy": 529.5
}
|
[
[
1,
0,
0,
0
],
[
0,
1,
0,
0
],
[
0,
0,
1,
0
]
] | 730
| 530
|
[
[
-1.07,
-0.31,
1.8900000000000001,
0.71,
2.1,
1.56,
7.14,
5.09,
12.3
],
[
-0.8,
-0.47000000000000003,
3.83,
0.6000000000000001,
2.04,
1.9500000000000002,
7.14,
5.29,
12.32
]
] |
dresser
|
梳妆台
|
{
"K": [
[
529.5,
0,
365
],
[
0,
529.5,
265
],
[
0,
0,
1
]
],
"R": [
[
0.9795900000000001,
0.012593,
0.20061
],
[
0.20061,
-0.12377,
-0.9718200000000001
],
[
0.012593,
0.9922300000000001,
-0.12377
]
],
"annotations": [
{
"R_bbox2cam": [
[
-0.134482334995628,
-0.20061,
0.9703966474195601
],
[
0.09782480857312101,
0.9718200000000001,
0.21446139938840303
],
[
-0.9860746445636461,
0.12377,
-0.11106643011134001
]
],
"bbox2D_proj": [
326.2712555889017,
70.40206425496574,
738.411189366415,
473.559891113013
],
"bbox2D_tight": [
328,
152,
674,
472
],
"bbox2D_trunc": [
326.2712555889017,
70.40206425496574,
730,
473.559891113013
],
"bbox3D_cam": [
[
0.46540898084640503,
-1.338018655776977,
5.297987937927246
],
[
0.155821204185485,
-1.112819075584411,
3.027975082397461
],
[
-0.23930299282073902,
0.801291286945343,
3.271754264831543
],
[
0.070284724235534,
0.5760917067527771,
5.541767120361328
],
[
2.297113895416259,
-0.933204710483551,
5.088340759277344
],
[
1.9875262975692751,
-0.7080051302909851,
2.818327903747558
],
[
1.592401981353759,
1.206105232238769,
3.06210708618164
],
[
1.901989817619323,
0.9809056520462031,
5.332119941711426
]
],
"category": "bed",
"category_cn": "床",
"category_old": "bed",
"category_original": "bed",
"category_total3d": "bed",
"centroid_cam": [
1.028905468868,
-0.065956733269999,
4.180047707561
],
"dimensions": [
2.30207,
1.969614,
1.887584
],
"id": 28971,
"image_id": 5286,
"image_uid": "0ac001f6-fd82-4a1f-9cee-2d1e2b8e5e26",
"uid": "ce6127bb-18eb-40de-9c21-7e14689f25d7"
},
{
"R_bbox2cam": [
[
0.9727982600640911,
-0.20061,
0.11583909946678601
],
[
0.212545009772161,
0.9718200000000001,
-0.10192155719450101
],
[
-0.092126699586571,
0.12377,
0.988024102829625
]
],
"bbox2D_proj": [
117.071490716234,
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343.14091864094456,
387.723335355831
],
"bbox2D_tight": [
157.7592,
10.63545,
314.6321,
373.12705
],
"bbox2D_trunc": [
117.071490716234,
0,
343.14091864094456,
387.723335355831
],
"bbox3D_cam": [
[
-1.004059553146362,
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2.76617431640625
],
[
-0.41710612177848805,
-1.296611905097961,
2.7105884552001953
],
[
-0.8265330791473381,
0.6867852210998531,
2.9631917476654053
],
[
-1.41348648071289,
0.558542847633361,
3.018777847290039
],
[
-0.77833354473114,
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],
[
-0.19138020277023302,
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],
[
-0.600807130336761,
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4.888471603393555
],
[
-1.187760472297668,
0.35993680357933,
4.944057464599609
]
],
"category": "dresser",
"category_cn": "梳妆台",
"category_old": "dresser",
"category_original": "dresser_mirror",
"category_total3d": "dresser",
"centroid_cam": [
-0.802433302255,
-0.46833755242999997,
3.827323015226
],
"dimensions": [
0.603366,
2.0409100000000002,
1.948616
],
"id": 28974,
"image_id": 5286,
"image_uid": "0ac001f6-fd82-4a1f-9cee-2d1e2b8e5e26",
"uid": "2195277a-de4e-40fe-b358-6da0800880c2"
},
{
"R_bbox2cam": [
[
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],
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],
[
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]
],
"bbox2D_proj": [
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],
"bbox2D_tight": [
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530
],
"bbox2D_trunc": [
0,
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530
],
"bbox3D_cam": [
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],
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],
[
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],
[
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2.828657865524292
]
],
"category": "dresser",
"category_cn": "梳妆台",
"category_old": "dresser",
"category_original": "dresser",
"category_total3d": "dresser",
"centroid_cam": [
-1.069842889045,
-0.31009696355000005,
1.8943502742879992
],
"dimensions": [
0.71281,
2.104546,
1.563134
],
"id": 28975,
"image_id": 5286,
"image_uid": "0ac001f6-fd82-4a1f-9cee-2d1e2b8e5e26",
"uid": "b8f7fac9-c6a1-4c74-9ee1-3db3beef783f"
},
{
"R_bbox2cam": [
[
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],
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],
"bbox2D_proj": [
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],
"bbox2D_tight": [
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],
"bbox2D_trunc": [
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"bbox3D_cam": [
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4.555934906005859
],
[
2.164908647537231,
0.185440436005592,
4.6652655601501465
],
[
2.23329758644104,
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5.091432571411133
],
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3.032024145126342,
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],
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2.963635206222534,
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],
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2.786429405212402,
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4.578657627105713
],
[
2.85481858253479,
0.284610569477081,
5.004824638366699
]
],
"category": "lamp",
"category_cn": "灯",
"category_old": "lamp",
"category_original": "lamp",
"category_total3d": "lamp",
"centroid_cam": [
2.5984665096599997,
-0.19419530918999903,
4.780379962121
],
"dimensions": [
0.433484,
0.883334,
0.6428079999999999
],
"id": 28976,
"image_id": 5286,
"image_uid": "0ac001f6-fd82-4a1f-9cee-2d1e2b8e5e26",
"uid": "99625878-5998-4d07-843b-df5919e716de"
}
],
"file_name": "sunrgbd/val/sunrgbd_000001.jpg",
"height": 530,
"history": {
"file_name_votenate": "/opt/tiger/rayyang/spatial/data_engine/third_party/sunrgbd/sunrgbd_trainval/image/000001.jpg"
},
"id": 5286,
"src_90_rotate": false,
"uid": "0ac001f6-fd82-4a1f-9cee-2d1e2b8e5e26",
"width": 730
}
|
7a1be633-438a-4a2e-b89c-09bcf034000a
|
sunrgbd/val/sunrgbd_000001.jpg
|
{
"cx": 365,
"cy": 265,
"fx": 529.5,
"fy": 529.5
}
|
[
[
1,
0,
0,
0
],
[
0,
1,
0,
0
],
[
0,
0,
1,
0
]
] | 730
| 530
|
[
[
1.03,
-0.07,
4.18,
2.3,
1.97,
1.8900000000000001,
131.9,
80.43,
143.97
]
] |
bed
|
床
|
{
"K": [
[
529.5,
0,
365
],
[
0,
529.5,
265
],
[
0,
0,
1
]
],
"R": [
[
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],
[
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],
[
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]
],
"annotations": [
{
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[
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],
[
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],
[
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]
],
"bbox2D_proj": [
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],
"bbox2D_tight": [
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472
],
"bbox2D_trunc": [
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730,
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],
"bbox3D_cam": [
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],
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],
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],
[
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],
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],
[
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],
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],
[
1.901989817619323,
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5.332119941711426
]
],
"category": "bed",
"category_cn": "床",
"category_old": "bed",
"category_original": "bed",
"category_total3d": "bed",
"centroid_cam": [
1.028905468868,
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4.180047707561
],
"dimensions": [
2.30207,
1.969614,
1.887584
],
"id": 28971,
"image_id": 5286,
"image_uid": "0ac001f6-fd82-4a1f-9cee-2d1e2b8e5e26",
"uid": "ce6127bb-18eb-40de-9c21-7e14689f25d7"
},
{
"R_bbox2cam": [
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],
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],
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],
"bbox2D_proj": [
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],
"bbox2D_tight": [
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],
"bbox2D_trunc": [
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],
"bbox3D_cam": [
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"category": "lamp",
"category_cn": "灯",
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"category_original": "lamp",
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"category_old": "dresser",
"category_original": "dresser_mirror",
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}
],
"file_name": "sunrgbd/val/sunrgbd_000016.jpg",
"height": 530,
"history": {
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},
"id": 5301,
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}
|
End of preview.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Visual Spatial Tuning
This dataset is the 3D object detection benchmark used in VST. Please follow VST/benchmark to evaluate the models.
git clone https://github.com/Yangr116/VST.git
python tools/download_hf_data.py --repo_id="rayruiyang/vst_3d_grounding_benchmark" --local_dir $YOUR_LOCAL_PATH
cd $YOUR_LOCAL_PATH/vst_3d_grounding_benchmark
tar -zxvf arkit/arkit_omni3d_test_640x480.tar.gz -C arkit
tar -zxvf sunrgbd/sunrgbd_val.tar.gz -C sunrgbd
And, you will get:
$YOUR_LOCAL_PATH/vst_3d_grounding_benchmark
├── arkit
│ ├── annotations
│ └── arkit_wo_rotation
│ └── arkit_omni3d_test_640x480
└── sunrgbd
├── annotations
└── sunrgbd
└── val
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