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Datasets:
moham741
/
SSL4EO-S12-v1.1-preselected

Modalities:
Geospatial
Tags:
satellite
sentinel-2
sentinel-1
remote-sensing
ssl
License:
Dataset card Data Studio Files
xet
 Community
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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 1520, 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 130, 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 34, 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 1405, 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 982, 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 1382, 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 1560, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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bands.b2
unknown
season.txt
string
__key__
string
__url__
string
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ssl4eos12_train_seasonal_data_0000001
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ssl4eos12_train_seasonal_data_0000003
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ssl4eos12_train_seasonal_data_0000004
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ssl4eos12_train_seasonal_data_0000005
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ssl4eos12_train_seasonal_data_0000006
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ssl4eos12_train_seasonal_data_0000007
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ssl4eos12_train_seasonal_data_0000008
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ssl4eos12_train_seasonal_data_0000009
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ssl4eos12_train_seasonal_data_0000010
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End of preview.

SSL4EO-S12-v1.1 — Pre-selected Single Season

Derived from embed2scale/SSL4EO-S12-v1.1.

What changed

Each geo-location in the original dataset has 4 seasonal acquisitions. This version pre-selects one season per sample so that training notebooks no longer need to decode 4 seasons at runtime.

Season assignment is deterministic and reproducible:

import hashlib
season = int(hashlib.md5(sample_key.encode()).hexdigest(), 16) % 4

Format

WebDataset .tar shards under train/.
Each sample contains two files:

File Description
{key}.bands.b2 blosc2/zstd-compressed [14, 264, 264] float16 array. Channels 0-11 = S2L2A, 12-13 = S1GRD.
{key}.season.txt Single ASCII digit recording which season (0–3) was selected.

Loading a sample 

import blosc2, numpy as np, webdataset as wds

N_CHANNELS, H, W = 14, 264, 264

def decode_sample(sample):
    raw = blosc2.decompress(sample['bands.b2'])
    arr = np.frombuffer(raw, dtype=np.float16).reshape(N_CHANNELS, H, W)
    return arr   # [14, 264, 264] float16

dataset = wds.WebDataset('path/to/shard.tar').map(decode_sample)

Source statistics

  • ~250,000 geo-locations across 477 paired shards
  • 14 channels: 12 × Sentinel-2 L2A + 2 × Sentinel-1 GRD
  • Spatial resolution: 264 × 264 pixels (10 m/px for S2, 10 m/px for S1)
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Total file size:
272 GB