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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 1531, 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 127, 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 32, 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 1400, 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 977, 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 1393, 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 1571, 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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__key__
string
__url__
string
lasagna.json
dict
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/PHerc0175A-lasagna-pyramid-fix.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-b00.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-b00.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-b11.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-b11.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-b12.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-b12.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t000.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t000.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t001.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t001.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t002.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t002.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t003.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t003.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t004.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t004.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t005.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t005.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t006.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t006.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t007.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t007.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t008.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t008.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t009.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t009.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t010.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t010.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t011.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t011.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t012.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t012.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t013.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t013.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t014.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t014.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t015.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t015.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t016.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t016.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t017.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t017.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t018.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t018.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t019.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t019.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t020.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t020.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t021.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t021.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t022.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t022.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t023.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t023.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t024.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t024.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t025.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t025.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t026.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t026.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t027.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t027.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t028.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t028.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t029.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t029.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t030.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t030.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t031.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t031.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t032.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t032.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t033.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t033.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t034.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t034.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t035.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t035.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t036.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t036.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t037.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t037.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t038.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t038.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t039.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t039.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t040.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t040.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t041.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t041.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t042.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t042.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t043.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t043.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t044.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t044.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t045.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
inference
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t045.tar
null
PHerc0175A
hf://datasets/SharpMeow/pherc0175a-lasagna@c47d329929ce8219d718327bb3e3d11e05e2cb0f/parts/PHerc0175A-lasagna-t046.tar
{ "version": 2, "source_to_base": 1, "grad_mag_encode_scale": 1000, "grad_mag_factor": 1, "groups": { "cos": { "zarr": "PHerc0175A_cos.ome.zarr/1", "scaledown": 1, "channels": [ "cos" ] }, "grad_mag": { "zarr": "PHerc0175A_grad_mag.ome.zarr/2", "scaledow...
End of preview.

PHerc0175A lasagna field

villa's lasagna predict3d output for the whole PHerc0175A scan, in villa's own layout, so you can point lasagna or the spiral fit at it without running the model yourself.

cos and surface normals, a slice through the middle of the scroll

See the same height in 3D, with the center line and the normals, in the Umbilici Space (its sheet at z 6,400; this preview is at z 6,372).

Get it

hf download SharpMeow/pherc0175a-lasagna --repo-type dataset --local-dir pherc0175a-lasagna
cd pherc0175a-lasagna && sha256sum -c SHA256SUMS
for f in parts/*.tar; do tar -xf "$f"; done
tar -xf PHerc0175A-lasagna-pyramid-fix.tar   # last: joins the level-4 pyramid across tiles

You end up with PHerc0175A.lasagna.json and PHerc0175A_{cos,grad_mag,nx,ny}.ome.zarr.

Load it

import numpy as np
import zarr

cos = zarr.open("PHerc0175A_cos.ome.zarr/1", mode="r")  # every 2nd scan voxel
nx = zarr.open("PHerc0175A_nx.ome.zarr/2", mode="r")    # every 4th scan voxel
ny = zarr.open("PHerc0175A_ny.ome.zarr/2", mode="r")

z, y, x = 1536, 6000, 4608                             # full-resolution scan voxels
patch = cos[z // 2, y // 2 - 256:y // 2 + 256, x // 2 - 256:x // 2 + 256]
a = (float(nx[z // 4, y // 4, x // 4]) - 128) / 127    # normals are stored as uint8, v * 127 + 128
b = (float(ny[z // 4, y // 4, x // 4]) - 128) / 127
c = np.sqrt(max(0.0, 1 - a * a - b * b))               # nz is not stored

load_example.py is a runnable version of this snippet; it was run on the real parts before upload.

Stream it, no download

The same field, unpacked, is in the public bucket SharpMeow/lasagna-fields under PHerc0175A/representations/predictions/lasagna/20250521115057-lasagna-de45f011/, so any zarr reader can open it by URL:

import zarr   # zarr 3, with fsspec and aiohttp

base = "https://huggingface.co/buckets/SharpMeow/lasagna-fields/resolve/PHerc0175A/representations/predictions/lasagna/20250521115057-lasagna-de45f011"
cos = zarr.open_array(base + "/PHerc0175A_cos.ome.zarr/1", mode="r", zarr_format=2)

Region downloads, a Neuroglancer link and the methods for all ten fields are on the Lasagna Fields page.

What it is

  • Scan: PHerc0175A, 20250521115057-8.640um-1.2m-116keV-masked.zarr, level 0, Vesuvius Challenge open data
  • Model: scrollprize/lasagna model_current.pt at revision de45f011 (sha256 4cc0c40a...)
  • Code: ScrollPrize/villa lasagna at db3dbea2, lasagna-preprocess predict3d --tile-size 192, default chunks and levels
  • Channels: cos at OME-Zarr level 1 (2x down); grad_mag, nx, ny at level 2 (4x down); each with its pyramid
  • Run: 64 parts on Hugging Face Jobs (RTX PRO 6000). Every part edge sits on a chunk line for levels 1 to 3. Level 4 chunks that straddle a tile edge were rebuilt from the joined level 3 with villa's own omezarr_pyramid, and a seam check found no step at any tile edge (worst ratio 1.26 against a 1.5 limit). In grad_mag the rebuilt level 4 differs from what the parts wrote in 15,978 of 57.7 million voxels (0.03%), every one a 0 against a small value at the edge of the masked region; nx and ny differ in one voxel each. Finer levels are exactly as the parts wrote them.

Notes

Raw model output; nobody has checked it by eye. Regions the masked scan leaves empty are absent (fill 0). The model ran on the scan at its native 8.64 um with no resampling; we have not tested whether another input scale works better.

Related

A center line (umbilicus) for PHerc0175A, and for every other scan on the prize page, is in SharpMeow/vesuvius-center-lines.

The Lasagna tab of the Umbilici Space shows a small sample of this field in your browser: cos at nine heights and the surface normals as needles, with the center line through them. Its X-ray tab streams the PHerc0175A CT itself.

Credit and terms

The scan is Vesuvius Challenge open data, CC BY-NC 4.0; this derived field is shared under the same terms. Model and code are ScrollPrize/villa's lasagna, credit to its authors. Shared by Chase Hendrick.

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