Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label LSL-SS-Net-Landslide-Dataset@bb83d67366a6da3da42964b8d437fb1701f990c4
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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2386, 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 2303, 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 2178, in encode_example
                  return encode_nested_example(self, example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1460, 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 1483, 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 1158, in encode_example
                  example_data = self.str2int(example_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1095, in str2int
                  output = [self._strval2int(value) for value in values]
                            ~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1116, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label LSL-SS-Net-Landslide-Dataset@bb83d67366a6da3da42964b8d437fb1701f990c4

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.

LSL-SS-Net-Landslide Dataset

A composite landslide dataset covering Bijie, Jiuzhaigou, and Taitung.

We release a comprehensive landslide dataset comprising full-scene remote sensing imagery, image patches TIFF format, JSON annotations, and corresponding shapefiles.

Dataset Download

Dataset: LSL-SS-Net-Landslide_Dataset.zip

Baidu Netdisk: Download the Dataset

Extraction Code: 1234

tgrs_a_2416727_f0001_oc

Citation

If you use this dataset in your research, please cite the following paper:

Yang, Y., Miao, Z., Li, X., Zhang, H., Chen, S., 2024. LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction. GIScience & Remote Sensing, 61(1), 2416727.

DOI: https://doi.org/10.1080/15481603.2024.2416727

BibTeX:

@article{Yang2024LSLSSNet,
  title   = {LSL-SS-Net: level set loss-guided semantic
             segmentation networks for landslide extraction},
  author  = {Yang, Yueheng and Miao, Zelang and
             Li, Xiaojing and Zhang, Hua and Chen, Shuai},
  journal = {GIScience \& Remote Sensing},
  volume  = {61},
  number  = {1},
  pages   = {2416727},
  year    = {2024},
  doi     = {10.1080/15481603.2024.2416727}
}
Downloads last month
28