Datasets:
The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label ShuRoad-DEM@73cdf0b8ebd549f5cb3916e921cdee11d3c24380
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2474, in __iter__
example = _apply_feature_types_on_example(
example, self.features, token_per_repo_id=self.token_per_repo_id
)
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2391, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2192, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1472, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1495, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1168, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1105, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1126, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label ShuRoad-DEM@73cdf0b8ebd549f5cb3916e921cdee11d3c24380Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ShuRoad-DEM
ShuRoad-DEM provides co-registered eight-directional hillshade (HS8), per-patch normalized bare-earth DEM, and binary reference mask GeoTIFFs for semantic segmentation of preserved Ancient Shu Road terrain morphology. The 2,188 patches comprise 1,745 Baoxie Road training samples, 167 Baoxie Road validation samples, and 276 route-disjoint Ziwu Road test samples. Each patch includes a DEM, an eight-directional hillshade raster, and a binary reference mask.
See dataset/README.md for raster specifications, split construction, metadata, scope, and limitations. See preprocessing/README.md for the optional HS8 generation script. dataset/overlap_audit.json reports zero cross-split spatial overlaps at a 0.01 m tolerance.
Download
Download all seven independent ShuRoad-DEM-train-part-XX-of-07.zip files, plus ShuRoad-DEM-val.zip, ShuRoad-DEM-test.zip, and ShuRoad-DEM-documentation-and-code.zip. Verify every archive against SHA256SUMS.txt. Extract all archives into the same parent directory while preserving paths; the published files will appear under ShuRoad-DEM-release/. The training ZIPs are independent archives, not segments of a split ZIP.
The data and documentation are CC BY 4.0, with Yuxiang Xu as creator and Wuhan University as licensor and rights holder (LICENSE-DATA). The optional preprocessing script is MIT-licensed (preprocessing/LICENSE). Segmentation model, training and inference implementations, weights, source DEM mosaics, original point clouds, and the complete patch-generation pipeline are not included.
Citation
Xu, Yuxiang. (2026). ShuRoad-DEM: A UAV LiDAR Bare-Earth DEM Dataset for Ancient Shu Road Segmentation [Data set]. Hugging Face. https://huggingface.co/datasets/nyacinth999/ShuRoad-DEM
- Downloads last month
- 103