Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 2 was different:
root.0: struct<LAC: double, Density: double>
root.1: struct<LAC: double, Density: double>
root.2: struct<LAC: double, Density: double>
root.3: struct<LAC: double, Density: double>
root.4: struct<LAC: double, Density: double>
root.5: struct<LAC: double, Density: double>
root.6: struct<LAC: double, Density: double>
root.7: struct<LAC: double, Density: double>
vs
root.0: struct<LAC: double, Density: double>
root.1: struct<LAC: double, Density: double>
root.2: struct<LAC: double, Density: double>
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 2 was different:
root.0: struct<LAC: double, Density: double>
root.1: struct<LAC: double, Density: double>
root.2: struct<LAC: double, Density: double>
root.3: struct<LAC: double, Density: double>
root.4: struct<LAC: double, Density: double>
root.5: struct<LAC: double, Density: double>
root.6: struct<LAC: double, Density: double>
root.7: struct<LAC: double, Density: double>
vs
root.0: struct<LAC: double, Density: double>
root.1: struct<LAC: double, Density: double>
root.2: struct<LAC: double, Density: double>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.
XDen-1K (Preview Release)
This is a preview release of XDen-1K, containing 100 out of 1000 real-world objects.
XDen-1K is a large-scale, multi-modal dataset of real-world objects designed for physical property estimation, especially volumetric density fields reconstructed from X-ray observations
Each real object is captured with:
- category
- real-world scale
- image
- High-resolution 3D meshes with real scale
- Part-level annotations
- Biplanar X-ray scans
- Optimized volumetric density field, reconstructed from Bi-planar X-ray scans.
Data structure
dataset/
├── 01/
│ ├── ori_image.jpg # RGB image
│ ├── mesh.glb # 3D mesh (real scale)
│ ├── density_pc.ply # point cloud with per-point density
│ ├── optimized_lac.nii.gz # optimized LAC volume
│ ├── lat.nii.gz # lateral X-ray scan
│ ├── pa.nii.gz # PA X-ray scan
│ └── part_lac_density.json # per-part LAC and density values
├── 02/
│ └── ...
└── ...
The category and scale are in the metadata.json file
metadata.json
{
"01": {
"category": "xx", # Category the object belongs
"scale": [0.0, 0.0, 0.0] # scale of the object (cm)
},
"02": {
"category": "yy",
"scale": [0.0, 0.0, 0.0]
}
...
}
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